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Customer Story
Scaling up high-content imaging through engineered BioTek Gen5 data
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Case studies
2024-10-11
high-throughput-screening
scientific-it, science
integration, contextualization, harmonization

High-content imaging produces rich datasets, but managing them was a headache for bioengineers at a leading synthetic biology company. They relied on inefficient manual processes to prepare data from Agilent BioTek Gen5 software for analysis, reducing screening throughput and straining resources.

To overcome these hurdles, the company deployed the Tetra Scientific Data and AI Cloud, which automatically collects and engineers Gen5 data into AI-native datasets at scale. 

Key results of the streamlined workflow:

  • Increased screening throughput by up to 35%
  • Reduced scientists’ hands-on time for plate reader runs by approximately 75%
  • Decreased data processing time by over 50%
  • Enhanced data completeness, consistency, and quality
  • Enabled cross-analysis through significantly improved data accessibility and reliability
Customer Story
Optimizing quality testing with LabWare and TetraScience
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Case studies
2024-09-03
qc-for-small-molecule
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics

Quality control (QC) scientists at a large biopharmaceutical company grappled with "human middleware" in their data workflows. These manual, labor-intensive processes slowed down batch release testing and compromised data integrity. 

In response, they partnered with TetraScience. The Tetra Scientific Data and AI Cloud™ automates their data workflows end to end through seamless bidirectional integration with LabWare LIMS and other software. The result is faster, more reliable, and fully traceable QC processes.

With TetraScience, the biopharma achieved:

  • Faster batch release testing
  • Higher productivity for scientists
  • Enhanced data integrity
  • Analytics-ready data for future chromatography dashboards
Customer Story
Optimizing cell and gene therapy production with LabVantage and TetraScience
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Case studies
2024-08-05
scientific-it, science
integration, contextualization, harmonization

Producing cell and gene therapies is exceptionally complex, and the stakes are incredibly high. For the contract development and manufacturing organizations (CDMOs) enabling these treatments, operational efficiency isn’t just about saving time and money; it can be a matter of life and death.

Recognizing this, an industry-leading CDMO modernized its scientific data strategy for developing and analyzing cell and gene therapies. Initially, its scientists relied on paper-based records and spreadsheets to track and record data. These methods were slow and prone to human error.

The CDMO decided to implement an integrated solution combining LabVantage LIMS with the Tetra Scientific Data and AI Cloud™. The solution led to several key outcomes:

  • Higher productivity for scientists
  • Improved data integrity
  • Future-proof, AI-ready data
Case Study
Powering dashboards for faster drug discovery
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Case studies
2024-06-27
high-throughput-screening
scientific-it, science
integration, contextualization, harmonization, data-analytics

Scientists at a biopharmaceutical company faced a data bottleneck in their high-throughput screens. Most could not access the screening data directly and had to rely on computational biologists to manually gather, process, and analyze it. This inefficient process slowed drug discovery.

To resolve the issue, the biopharma adopted the Tetra Scientific Data and AI Cloud™. This scalable solution automatically replatforms and engineers the screening data, making it readily available for visualization through a dashboard. Now, all discovery scientists can easily access high-quality data.

Key outcomes include:

  • Rapid data search and aggregation: reduced from 1–2 days to 10 minutes 
  • Higher productivity: refocused computational biologists on more valuable work
  • Faster decisions in hit selection: decreased from 2 weeks to 1–2 days
Customer Story
Advancing gene therapy development with engineered qPCR data
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Case studies
2024-06-12
scientific-it, science
integration, contextualization, harmonization, data-analytics

Development scientists at a leading biopharmaceutical company use quantitative polymerase chain reaction (qPCR) to evaluate the impact of process changes on gene therapy products. These assays are crucial for chemistry, manufacturing, and controls (CMC). However, the team's manual-intensive data workflow significantly limited their throughput and data analysis capabilities.

The biopharma's leadership turned to TetraScience to streamline their qPCR process. The solution employs the Tetra Scientific Data and AI Cloud™ to automatically replatform and engineer the qPCR results into analytics- and AI-ready data.

As a result, the improved workflow:

  • Increases assay throughput by up to 6x
  • Minimizes manual steps, saving up to 1 hour per assay
  • Enables meta-analyses across multiple experiments
Customer Story
An optimized data workflow for drug transporter assays
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Case studies
2024-06-03
scientific-it, science
integration, contextualization, harmonization

A leading contract research organization (CRO) performs drug transporter assays for biopharma companies, providing crucial insights into the pharmacokinetics and potential drug-drug interactions of lead compounds. However, its scientists struggled with slow and error-prone data processes, impacting the scalability of these assays.

To address this challenge, the CRO partnered with TetraScience to streamline the entire workflow. The Tetra Scientific Data and AI Cloud™ automatically replatforms and engineers the data from each study, eliminating many inefficient steps.

As a result, the CRO has achieved:

  • 50% decrease in manual data entry
  • 80% fewer items for QA to review
  • 3,000 hours per year reallocated toward increasing throughput

Customer Story
Simplifying ADME studies through data automation
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Case studies
2024-05-20
scientific-it, science
integration, contextualization, harmonization

How drugs bind to blood plasma proteins influences their bioavailability and efficacy in the body. At a top 25 biopharma company, scientists measure this interaction using rapid equilibrium dialysis followed by mass spectrometry (RED-MS). However, they were spending significant time on manual file preparation and statistical calculations, which slowed down their absorption, distribution, metabolism, and excretion (ADME) studies.

Discover how the Tetra Scientific Data and AI Cloud™ streamlined and enhanced their workflows by automatically preparing and processing data for RED-MS assays. The new solution:

  • Cut data preparation and processing time from hours to minutes
  • Centralized and contextualized data for rapid search and retrieval
  • Eliminated manual steps for improved scalability and data integrity

Case Study
Driving high-impact scientific outcomes with Tetra Catalysts
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Case studies
2024-05-13
flow-cytometry
scientific-it, science
integration, contextualization, harmonization, data-analytics, sciborgs

The flow cytometry core facility at a leading biopharma faced complex data challenges. Scientists struggled with data curation, while facility staff had difficulty monitoring instrument performance. Both groups needed more efficient ways to manage and analyze their data.

Tetra Catalysts provided a way forward. This outcomes-based offering optimized flow cytometry workflows with a science-led approach that combines the Tetra Scientific Data and AI Cloud™, deep domain expertise, and a library of scientific use cases and supporting artifacts.

With Tetra Catalysts, the biopharma was able to:

  • Redirect scientists’ time spent on manual data processes to more valuable work
  • Collect and engineer data automatically in the cloud for rapid search and analysis
  • Visualize and trend instrument calibration data, enabling predictive maintenance
  • Recover over $50,000 per year through time savings
Case Study
Increasing efficiency in purification process development
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Case studies
2024-05-02
bioprocessing-purifiation, chromatography
scientific-it, science
integration, contextualization, harmonization

At a top 10 pharmaceutical company, scientists developing purification methods were bogged down by inefficient data processes. They struggled to consolidate analytical data from UPLC and connect it with upstream processing data from FPLC. This hampered chemistry, manufacturing, and controls (CMC) efforts.

The Tetra Scientific Data and AI Cloud™ transformed the workflow by enabling a seamless exchange of data between chromatography data systems (UNICORN and Empower) and Signals Notebook. Scientists can now compare multiple runs effortlessly, identify anomalies rapidly, and access historical data instantly.

Find out how TetraScience helped this pharma:

  • Eliminate 25 to 100 hours per week of manual data transcription
  • Reduce data search times by up to 8 hours
  • Streamline report preparation, saving 10 to 20 days per year
  • Speed up process development by predicting optimal purification conditions to maximize yield and purity
  • Reclaim $375,000 per year in scientists’ time
Customer Story
Unlocking CMC process data for predictive analytics
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Case studies
2024-03-18
science, ai-and-data-science
integration, contextualization, harmonization, data-analytics

Predictive models can dramatically improve drug production, but they require large-scale, contextualized datasets. At a top 25 biopharma, data scientists working in chemistry, manufacturing, and controls (CMC) were stuck. They couldn't use process data (collected by PharmaMV software) to build these models because it wasn't optimized for predictive analytics.

The biopharma partnered with TetraScience to liberate this trove of valuable data. The solution uses the Tetra Scientific Data and AI Cloud™ to automatically replatform and engineer data from PharmaMV into AI-native Tetra Data.

Now, the data scientists can:

  • Search and assemble contextualized data rapidly
  • Access AI-native data for advanced analytics and modeling of drug production

Read the customer story to learn more.

Case Study
Improving CMC with analytics-ready chromatography data
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Case studies
2024-03-07
bioprocessing-purification, chromatography
scientific-it, science
integration, contextualization, harmonization, data-analytics

Scientists in the Chemistry, Manufacturing, and Controls (CMC) division at a top-ten biopharma company specialize in developing methods for purifying biologics. However, they struggled with inefficient data practices. Manually assembling and analyzing heterogeneous sets of chromatography data (from FPLC and UPLC) was far from scalable.

Discover how TetraScience accelerated their development cycle by replatforming and engineering chromatography data. This analytics-ready data powers an in-house application to further streamline and enhance analysis.

The new solution enables the CMC team to:

  • Redirect thousands of hours of manual data handling to model building
  • Search and retrieve chromatography data faster and easier
  • Streamline troubleshooting during scale-up to facilitate tech transfer
  • Generate AI-native data for future AI applications
Case Study
Accelerating ADME/Tox testing with data science and AI
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Case studies
2024-01-29
biologics-characterization
science, ai-and-data-science
integration, contextualization, harmonization, scientific-ai

At Charles River Laboratories Hungary (SOLVO), scientists perform drug transporter assays to evaluate the absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of drug candidates. They follow a rigid and inefficient sampling scheme to generate dose-response curves, adding cost and time to projects.

Learn how TetraScience helped SOLVO streamline ADME/Tox screening with artificial intelligence (AI). By replatforming and engineering scientific data, the Tetra Scientific Data and AI Cloud™ supports the development and validation of an in silico model to optimize sampling and improve IC50 calculations.

The in silico model, built in just 5 months, will enable SOLVO to:

  • Cut the number of sampling points by half while improving IC50 accuracy
  • Reduce wet lab experiments by 50%
  • Decrease manual data curation by 1.5 FTE
Customer Story
Streamline batch release workflows between Signals Notebook, LabX, and Tiamo
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Case studies
2024-01-29
qc-for-biologics, qc-for-small-molecules
science, quality-and-regulatory
integration, contextualization, harmonization, scientific-ai, quality-and-compliance

When a large biopharma needed to digitize their batch release workflows, eliminate manual data handling, and prepare their scientific data for downstream use in analytics applications and AI, they chose TetraScience.

The Tetra Scientific Data and AI Cloud™ will enable the seamless transfer of data between Signals Notebook, LabX, and Tiamo through integrations and advanced data engineering while simultaneously preparing data for downstream use in analytics and AI applications.

This global biopharma can expect:

  • 40% increase in lab productivity
  • 4x reduction in error rate
  • Reduction in FTEs required for QC review
  • AI-native data for prediction and troubleshooting

For the full story, read our 1-page customer story.

Customer Story
Enhanced sample tracking boosts genotyping throughput
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Case studies
2023-12-15
biologics-characterization
science
integration, contextualization, harmonization

High-throughput screening of genomic edits in mice is a complex, multi-step process. Each genetic modification requires unique reagents for detection by quantitative PCR. Read this customer story to learn how the Tetra Scientific Data and AI Cloud increased productivity through the automation and enhancement of sample records.

Challenge:
A top 20 biopharma company operates its qPCR-based genotyping workflow at 40% capacity due to limitations in sample tracking.

Solution:
The Tetra Scientific Data and AI Cloud enables per-well sample tracking by replatforming and engineering scientific data.

Result:
33% increase in genotyping throughput so far; expected to increase by 150% total soon.

Case Study
Unlocking the Value of Big Data in a Global Biopharma
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Case studies
2022-12-28
cxo-collaboration, high-throughput-screening
scientific-it
integration, contextualization, harmonization, data-analytics, scientific-ai

A leading biopharmaceutical company was searching for a data solution that would help them accelerate biologics discovery and development, improve time-to-insight, and bring therapies to patients faster.

This case study explores how the Tetra Scientific Data and AI Cloud helped them accomplish their goals by:

  • Automating CRO data ingestion
  • Eliminating time-consuming manual data cleansing
  • Accelerating .CZI image processing
  • Streamlining HTS workflows

Read this case study to learn how TetraScience optimized large scale scientific data.

Case Study
Streamlined flow cytometry for antibody screening
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Case studies
2023-08-16
flow-cytometry
scientific-it, science
integration, contextualization, data-analytics

Flow cytometry is a powerful tool to screen and optimize protein therapeutics. But the raw data is complex and requires preparation before downstream analysis. Performed manually, this process creates a bottleneck for high-throughput approaches.

Facing this challenge, a leading biopharma company looked to increase the throughput of its antibody screening method by streamlining the scientific data workflow.

Read the case study to learn how TetraScience helped this company achieve:

  • 25X faster data preparation, including gating and QC
  • Up to 48 hours saved per screen
  • Over 3X screening throughput by supporting a multiplexing approach
  • Higher-quality data, centralized and searchable in the cloud

The outcome was faster, better lead identification without increasing instrument footprint or personnel.

Case Study
Streamlining synthetic biology at Ginkgo Bioworks
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Case studies
2023-12-02
asset-utilization
scientific-it
integration

Ginkgo Bioworks is pioneering new ways to design biology. The company’s innovative cell programming platform enables scientists to edit DNA and produce biological designs that can identify new therapeutics for pharmaceutical companies, enable agriculture companies to protect crops from pests, and more.

Learn how the Tetra Scientific Data and AI Cloud™ enabled Ginkgo to optimize lab operations and allowed software engineers to focus on high-value work while also helping the company prepare data for analytics and AI applications.

Case Study
Powering Scientific Process Automation and Workflow Management
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Case studies
2022-09-30
high-throughput-screening
scientific-it, science, ai-and-data-science
integration, contextualization, harmonization

The clinical-stage biopharmaceutical company Prelude Therapeutics (PTx) deployed the Tetra Data Platform to eliminate manual data processing and accelerate scientific discoveries.

This case study describes:

  • The challenges of manual collection, transfer, and manipulation of data for the integration of PTx instruments & software
  • The benefits of scientific process automation and workflow management with the Tetra Data Platform (TDP)

TetraScience built a cloud-based data processing solution to automate Tecan, Titian, Dotmatics, and PerkinElmer Envision workflows with upstream data science applications. Our vendor-agnostic integrations enabled scientists to access all of their instrument data, information of informatics software, and scientific data visualization in one place. No more need to move and update files from multiple locations.

Learn how to reduce manual tasks by automating workflows, enabling scientists to focus on high-value activities like developing new cancer treatments. Read the full case study.

Case Study
How a Biotech Organization is Transforming Vital Flow Cytometry Processes
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Case studies
2022-11-15
flow-cytometry
scientific-it, science, quality-and-regulatory
integration, harmonization

A leading biotech company was facing challenges with their flow cytometry workflows due to inefficient, manual processes that were time consuming, high effort and error prone.

This case study shows how this biotech organization was able to automate, simplify, and improve the quality of their flow cytometry workflows by addressing the pain points that include:

  • Manual data manipulation
  • High utilization of instruments
  • Slow, complex, and risky data preparation processes

Read this full case study to learn about how to improve and accelerate flow cytometry workflows with the Tetra Scientific Data and AI Cloud™.

Customer Story
Faster lead characterization by automating SPR data workflows
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Case studies
2023-12-02
biologics-characterization
scientific-it, science
integration, contextualization, harmonization

Surface plasmon resonance (SPR) enables scientists to measure molecular interactions between a potential drug and its target. Read this customer story to learn how the Tetra Scientific Data and AI Cloud accelerated lead characterization by replatforming and engineering SPR data.

Challenge:
A top 10 biopharma company performs manual QC of SPR data for lead characterization. The process takes up to 80% of scientists’ time, throttling assay throughput.

Solution:
The Tetra Scientific Data Cloud streamlines the entire QC process by automating data ingestion, engineering, and publishing.

Result:
Over 3x higher assay throughput and better quality data.

Case Study
Creating "The Digital CDMO" with Andelyn Biosciences
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Case studies
2023-10-05
biologics-characterization, bioprocessing-purification, cxo-collaboration, qc-for-biologics
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, quality-and-compliance

When Andelyn Biosciences broke ground on two state-of-the-art gene therapy CDMO facilities, they needed the optimal scientific data strategy. They decided to create a “Connected Plant” by leveraging The Tetra Scientific Data and AI Cloud™ across their entire enterprise.

Read this case study to learn how TetraScience and Andelyn successfully launched “The Connected Plant” where the Tetra Scientific Data and AI Cloud:

  • Provides the data infrastructure, automation, and engineered data Andelyn requires to become “The Digital CDMO”
  • Lays the foundation for AI-enabled workflows
  • Powers an easy-to-use search for all assay data
  • Consolidated every independent data story across the scientific organization
  • Onboarded 100% of Andelyn’s legacy gene therapy data

Find out why Andelyn says “TetraScience is the cornerstone of 'The Connected Plant Strategy.'”

Case Study
Driving Cost-Effective CRO Collaboration
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Case studies
2022-09-30
chromatography, qc-for-biologics
scientific-it, science, quality-and-regulatory
integration, harmonization, data-analytics

Most Contract Research Organizations (CROs) use their own data formats for standard assays, which can pose data aggregation challenges to biopharma companies. Being able to harmonize data from different CRO reports is critical to scale up absorption, distribution, metabolism, and excretion (ADME) testing of pharmacokinetics (PK) properties of drug candidates.

This case study demonstrates how TetraScience helped two clinical-stage startup companies get the most out of their CRO collaborations for ADME/PK needs.

It covers:

  • The challenges of laborious manual data workflows for pharmacokinetics and pharmacodynamics (PK/PD) studies. Scientists have to manually check the reports from CROs.
  • The benefits of an optimized process that connects, parses, and harmonizes ADME/PK reports from various CROs.

Harmonized data allow visualizations of structure activity relationships (SAR), data science, artificial intelligence, and machine learning (AI/ML). By automating CRO data entry, processing, and transfer, scientists save time and reduce manual errors. With automated data management, CRO outsourcing can help biopharma companies realize more cost-effective results. Read the full case study to learn more.

Customer Story
Automated instrument onboarding with Atlassian Jira and TetraScience
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Case studies
2023-12-02
scientific-it
integration

A top 20 global biopharma needed to integrate 350+ scientific instruments into a centralized data environment, but each integration required five minutes of manual configuration. Learn how the company paired Atlassian Jira project management software with the Tetra Scientific Data and AI Cloud™ to automate the configuration of Tetra File-Log Agents and achieve 25x faster instrument onboarding.

Case Study
Quality Control Workflows for Chromatography Data Analysis
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Case studies
2022-09-30
cxo-collaboration
scientific-it, science
integration, harmonization

As a process for separating components of a sample, chromatography is critical to modern pharmaceutical and biotech workflows. One challenge is the difficulty in aggregating data across multiple runs or across diverse in-house instrumentation. Manual data reporting and transformation between data formats are time-consuming and prone to errors.

Biopharma organizations are partnering with TetraScience to unlock the full value of chromatography data – and faster, more reliable quality control.

Our case study – Data-Driven Quality Control – describes how TetraScience helped a top 15 global biopharma to improve chromatography data analysis. You'll learn about our automated quality control workflows for:

  • System suitability tests (SST)
  • Column degradation checks
  • Shelf-life for active pharmaceutical ingredients (APIs)

TetraScience ingested and processed high-performance liquid chromatography (HPLC) data into a FAIR format.

Researchers saved an estimated 8 hours/week in manual data gathering, visual comparison and reporting. Our client was also able to use existing runs to predict failures before they occurred while resolving inefficiencies in communication.

Enhance Your Data-driven Quality Control  

Read our case study for an in-depth look at how TetraScience has advanced chromatography data analysis in the cloud. We will review:

  1. Cost savings in manual labor and consumables
  2. Streamlined reporting between functions 
  3. Harmonized data adhering to FAIR principles

Case Study
Accelerating bioprocessing purification at Alexion
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Case studies
2023-07-26
bioprocessing-purification, chromatography
scientific-it, science
integration, contextualization, harmonization, data-analytics

Alexion, AstraZeneca Rare Disease, needed a technology partner to streamline a bioprocessing purification workflow so they could advance their analytics capabilities and transform the lives of patients with rare diseases.

TetraScience successfully developed an automated, FAIR-data powered (findable, accessible, interoperable, reusable), analytics-enabled FPLC workflow that significantly improves time-to-insight and throughput for their downstream laboratory.

Read the case study to find out how TetraScience helped Alexion:

  • Decrease time-to-insight from 1 week to 1 day
  • Reallocate ~5000 hours per year to higher value work
  • Increase FPLC throughput
  • Create the lab’s first centralized, searchable, cloud data store
  • Eliminate the operating costs associated with retrieving difficult-to-find data
Blog
3 Ghosts of Data Past (and how to eliminate them)
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Blog

Read this blog to learn how to keep up with the speed of data.

2022-07-28
scientific-it, ai-and-data-science
Blog
A Promise to Families: Delivering Personalized Medicine
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Blog

An interview with Allen Chang, CEO, Atgenomix. Read the full interview.

2023-03-28
data-analytics, scientific-ai
scientific-it, science, ai-and-data-science
Blog
A complete toolchain for creating AI-ready scientific data at enterprise scale
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Blog

Discover the features of our scientific data toolchain and learn how you can contribute to our library of data integration and engineering components.

2024-06-25
integration, contextualization, harmonization
scientific-it, ai-and-data-science
Blog
AI-assisted drug safety assessment
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Blog

Explore how TetraScience is leveraging AI for drug safety assessments to speed up development and lower costs.

2024-04-25
data-analytics, scientific-ai
science, ai-and-data-science
Blog
Accelerate Tetra Data availability as external tables in Snowflake
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Blog

Learn how accessing Tetra Data in Snowflake as external tables can improve query performance, reduce storage costs, minimize data redundancy, simplify schema evolution, and provide real-time data access without compromising data integrity or compliance.

2023-12-21
contextualization
scientific-it, ai-and-data-science
Blog
Accelerating AI-led High Content Image Analysis
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Blog

TetraScience sits down with Ben Kamens, CEO and Founder, Spring Discovery. Read the full interview.

2023-07-13
scientific-ai
science, ai-and-data-science
Blog
Accelerating Collaborative, Reproducible Science Built on FAIR Principles
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Blog

An interview with Simon Adar, Co-founder and CEO, Code Ocean. Read the full interview.

2023-02-03
Blog
Accelerating Process Automation in Research and Manufacturing
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Blog

We are delighted to welcome AGU to the Tetra Partner Network and to share a recent conversation with Klaus Bruch, CEO, and Co-Founder of AGU.

2022-12-13
quality-and-compliance
scientific-it, quality-and-regulatory
Blog
Achieving operational excellence with a modern Laboratory Information Management System (LIMS)
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Blog

Scigilian joins the Tetra Partner Network. Read the full interview.

2023-02-23
data-analytics
scientific-it, science
Blog
Announcing Our Series B: The What, When, Why, Who, and Where
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Blog

We are incredibly excited and profoundly grateful to announce the closing of our $80 million Series B which was co-led by Insight Partners and Alkeon Capital.

2021-04-15
Blog
Announcing our Series B: Tetra 1.0 and 2.0 | The Noise and the Signal
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Blog

Since launching Tetra 2.0 our growth metrics have been simply remarkable, with 2020 ARR growing 10x over 2019 & 2021 ARR growth expected to increase another 3x

2021-04-15
Blog
Announcing our Series B: The DNA Markers of Category Kings and Queens
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Blog

Category Kings and Queens dominate in the winner-take-all world of tech economics in which they capture virtually all of a market's mindshare.

2021-04-15
Blog
Are you prepared to utilize ML/AI and Data Visualization?
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Blog

We welcome the opportunity to speak with Andrew Skalkin, CEO and Founder of Datagrok. Datagrok and the Tetra Partner Network make it easy.

2022-03-02
data-analytics, scientific-ai
science, ai-and-data-science
high-throughput-screening
Blog
Automated Anomaly Detection and Correction
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Blog

An interview with Randall Julian, Ph.D., CEO of Indigo BioAutomation. Read the full interview.

2022-03-28
integration, scientific-ai
scientific-it, science, ai-and-data-science
Blog
Automating Cell Culture and Cell Engineering
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Blog

TetraScience sits down with Jimmy Sastra, CEO and Co-founder of Monomer Bio. Read the full interview.

2023-07-19
integration
scientific-it
Blog
Automating qPCR Workflows for Better Scientific Outcomes
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Blog

An indepth look at how UgenTec automates qPCR workflows and augments them with AI.

2022-08-04
integration, data-analytics, scientific-ai
scientific-it, science
cxo-collaboration, high-throughput-screening, qc-for-biologics
Blog
Barrier Busting: Bringing ELN and LIMS Scientific Data Together
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Blog

An interview with Yonggan Wu, CEO, Labii. Read the fulll interview.

2022-06-27
integration
scientific-it, science
Blog
Biopharma’s DIY problem: 5 reasons why DIY for AI fails
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Blog

Read why a do-it-yourself (DIY) approach to scientific data management is a major impediment for biopharma organizations in their scientific AI initiatives.

2023-12-21
integration, harmonization, scientific-ai
scientific-it, ai-and-data-science
Blog
Bridging network gaps: Connecting on-premise scientific data to cloud data platforms
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Blog

Learn how to connect biopharma lab networks to the cloud, ensuring a smooth flow of scientific data while meeting enterprise security needs.

2024-07-09
integration
scientific-it
Building A Scientific Use Case Factory
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Blog

Unlock immense value from Scientific AI using a modern, scalable stack, as exemplified by the TetraScience and Databricks partnership.

2024-09-06
data-analytics, scientific-ai
science, ai-and-data-science
Blog
Building The Digital CDMO with TetraScience
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Blog

An interview with Bryan Holmes, Vice President, Digital and Technology Solutions, Andelyn Biosciences. Read the full interview.

2022-07-22
integration, data-analytics
science
cxo-collaboration
Blog
Building a Scientific Data and AI Community with TetraConnect Hub
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Blog

TetraConnect Hub offers a collaborative space for biopharma scientists and data specialists to access resources, participate in discussions, and shape the platform.

2024-05-22
scientific-it, science, ai-and-data-science
Blog
Collaborating and Innovating in Biopharma: Workflow and Sample Management
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Blog

Collaborating and Innovating in Biopharma: Workflow and Sample Management

2023-01-17
scientific-it
Blog
Committed to Curing Diabetes
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Blog

An interview with Felipe Echeverri, CEO, Biorep Technologies, Inc. Read the full interview.

2022-05-31
science
Blog
Connecting Siloed Systems Throughout R&D for Research Insights
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Blog

Colabra was created from the realization that in today’s fast-paced scientific R&D landscape, organizations were facing a growing challenge of managing all thei

2023-02-24
quality-and-compliance
scientific-it, science, quality-and-regulatory
Blog
Create your own data schemas using the Tetra Data Schema Library
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Blog

Learn to programmatically define custom data schemas in the Tetra Data Platform, ensuring data integrity and reducing development cycles.

2024-07-23
integration, harmonization
scientific-it
Blog
Creating a Treasure Trove of Scientific Insights
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Blog

An interview with Anahita Laskowski, Head of Sales, AgiLab. Read the full interview.

2022-09-15
scientific-it, quality-and-regulatory
Blog
Customizing Digital Lab Experiences With Ease
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Blog

Researchers adopt digital solutions, such as ELNs or inventory management systems, with the intention of optimizing and centralizing their daily work in the lab

2022-05-02
integration
scientific-it
Blog
Data Readiness in AI
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Blog

Explore key insights from the panel discussion "Data Readiness for AI," held at Bio-IT World Conference & Expo 2024. Experts from TetraScience and throughout industry share strategies for leveraging data effectively in AI applications within biopharma. With an emphasis on the importance of data governance, collaboration across scientific disciplines, and fostering a data-centric culture, thoughtful data management can unlock the potential of AI for improved drug development and patient outcomes.

2024-05-07
scientific-ai
scientific-it, ai-and-data-science
Blog
Data integrity in biopharma: Embracing ALCOA++
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Blog

See how the principles of ALCOA++ guide biopharma organizations toward data integrity and better scientific outcomes.

2023-08-14
quality-and-compliance
scientific-it, quality-and-regulatory
Blog
Digital Twins: Seeing Double with a Predictive Eye
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Blog

Digital twins in product and process development facilitate agile development, tech transfer, and process improvement while accelerating product delivery.

2022-04-06
contextualization, scientific-ai, quality-and-compliance
scientific-it, science, ai-and-data-science
Blog
ELN/LIMS as the data layer for AI/analytics: pros and cons
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Blog

Considering an ELN/LIMS to prep data for AI? You may want to think again.

2023-10-26
integration, contextualization, harmonization
scientific-it
Blog
Empower Agent v5.1.x: CDS data integration at enterprise scale
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Blog

TetraScience announces the release of their Empower Agent, version 5.1.x. Integrate your CDS data at scale with the Tetra Scientific Data and AI Cloud.

2023-10-20
integration
scientific-it, science
chromatography
Blog
Engineering the World's Scientific Data: Schema, Taxonomy, Ontology, and the Tetra Way
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Blog

Dive into TetraScience's approach to scientific data engineering, focusing on schema, taxonomy, and ontology development.

2024-10-17
integration, contextualization, harmonization
scientific-it
Blog
Enhancing the scientific data engineering experience
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Blog

See how the scientific data engineering experience is enhanced by low-code protocols, bulk file processing, and entity relationship diagrams.

2024-02-07
integration, contextualization
scientific-it, ai-and-data-science
Blog
Escaping the Scientific Data Quagmire
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Blog

See how to systematically automate drug discovery, save scientists time, and enable AI/ML.

2022-04-11
integration, harmonization, data-analytics, scientific-ai
scientific-it, science, ai-and-data-science
Blog
Experimental Data in Life Sciences R&D — It’s How Many Copies of Jaws?!
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Blog

Key takeaways from the “Why Life Sciences R&D Organizations Are Replatforming Their Experimental Data to the Cloud” webinar with 20/15 Visioneers.

2021-07-22
Blog
Flying high with cloud-based quality and compliance
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Blog

Read our latest blog on how TetraScience establishes robust and dependable compliance standards for cloud-connected laboratories.

2023-06-02
quality-and-compliance
science, quality-and-regulatory
Blog
From warehouse to waterfront: Why scientific data needs the lakehouse lifestyle
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Blog

Overcome the limitations of data warehouse and data lake architectures with a lakehouse strategy optimized for your scientific data.

2024-07-10
scientific-it
Blog
Fueling the Lead Machine—Data and HTS
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Blog

Learn how big data impacts your high-throughput screening workflows and how TetraScience can help you improve your cost, time, and quality.

2023-03-24
integration, contextualization, data-analytics
scientific-it, science
high-throughput-screening
Blog
Genius of “And” – You can get both
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Blog

Learn how the Tetra Scientific Data and AI Cloud can help customers to solve immediate connectivity needs AND build a foundation for analytics/AI.

2023-12-15
integration, contextualization, harmonization, sciborgs
scientific-it
Blog
Give Your in vivo Data the Attention it Deserves
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Blog

The data challenges of In vivo research studies are increasingly complex as companies focus on more challenging diseases: cancers, diabetes, and other chronic

2022-05-09
scientific-it, science
Blog
Harmonized Scientific Data: The Key to Faster Discovery
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Blog

Ready to harmonize your scientific data with TetraScience? Discover how findable, accessible, interoperable, and reusable (FAIR) data accelerates innovation

2022-10-03
integration, contextualization, harmonization
scientific-it, science, ai-and-data-science
cxo-collaboration
Blog
Harnessing AI in biopharma: Scientific use cases
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Blog

AI promises to transform the entire biopharma value chain—from discovery to commercialization. Explore some of the pivotal scientific use cases.

2023-12-21
data-analytics, scientific-ai
science
asset-utilization, formulation-development, high-throughput-screening, qc-for-biologics, qc-for-small-molecules
Blog
Harnessing Multi-Omic Data with Deep Learning
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Blog

We are delighted to welcome DeepLife to the Tetra Partner Network and to share a recent conversation with Jonathan Baptista, Co-Founder & CEO.

2022-10-13
data-analytics, scientific-ai
science, ai-and-data-science
Blog
Harnessing the Power of Liquid Data: Transforming CMC Workflows for Biopharma Innovation
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Blog

Explore key insights from an expert roundtable on how liquid data improves scientific outcomes in CMC, addressing both opportunities and challenges.

2024-09-30
science, quality-regulatory
Blog
High Throughput Antibody Discovery: 100x the Data in 10% of the Time
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Blog

An interview with Chris Silva, VP Global Marketing and Product, Carterra. Read the full interview.

2022-11-09
scientific-it, science
high-throughput-screening
Blog
How to free your data from isolation using the cloud
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Blog

Discover how dispersed scientific data in biopharmas can easily be accessed, enriched, and harmonized for analytics and AI/ML using the cloud.

2023-06-05
integration, contextualization, harmonization
scientific-it, science
asset-utilization, cxo-collaboration, high-throughput-screening, qc-for-small-molecules
Blog
How to overcome the hurdles to Pharma 4.0
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Blog

A recent article in SLAS Technology details a proof of concept case study on digitizing data workflows to overcome the challenges of "Pharma 4.0" in protein therapeutic development. Discover the key takeaways and learn how TetraScience can help with your own digital revolution.

2024-03-15
integration, contextualization, harmonization
scientific-it, science, ai-and-data-science
Blog
Innovating with a HoloLens and Drones
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Blog

iVention, maker of a powerful Laboratory Execution System (iLES), joined the Tetra Partner Network late last year. We sat down with Oscar Kox,for a conversation

2022-04-01
scientific-it, science
Blog
Legacy data architectures are slowing your AI journey
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Blog

Learn how siloed data environments and a legacy data architecture like an SDMS can slow the progress of biopharma organizations in their AI journeys.

2023-12-21
integration, contextualization, harmonization, data-analytics, scientific-ai
scientific-it, ai-and-data-science
Blog
Making Labs More Efficient
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Blog

We are delighted to share our conversation with Tobias Wingbermuehle, Co-Founder of Clustermarket.

2022-03-30
scientific-it, science
asset-utilization
Blog
Multi-byte character support for Japanese language in workflows
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Blog

Tetra Data Platform v3.6 introduces multi-byte character support to empower users in global biopharma organizations who want to use Japanese language.

2023-11-09
contextualization
scientific-it
Blog
New Frontiers: World’s First Community-Driven AI Store for Biology
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Blog

Cloud platform for AI biology to accelerate machine learning for scientific research.

2022-05-23
scientific-ai
science, ai-and-data-science
Blog
Our Scientific Data Takeaways From Attending Databricks’ Data+AI Summit
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Blog

Read our three essential takeaways from the Databricks Data+AI Summit, featuring insights from industry leaders, keynotes, and breakout sessions.

2024-06-20
scientific-ai, data-analytics
ai-and-data-science
Blog
Paradigm shift in scientific data management and analysis
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Blog

Biopharma companies are moving beyond traditional lab connectivity and outdated data management strategies to establish a foundation for analytics and Scientific AI.

2024-05-23
integration
scientific-it, ai-and-data-science
Blog
Pluggable Connector Framework accelerates development and release of data connectors
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Blog

Learn how the Tetra Pluggable Connector Framework accelerates the release cycle and scalability for integrating devices and applications.

2024-01-29
integration
scientific-it
Blog
Pragmatic Compliance Solutions: Adding Value Effectively to GxP
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Blog

An interview with Stephen Ferrell, Co-Founder, CompliancePath. Read the full interview.

2022-09-08
quality-and-compliance
scientific-it, quality-and-regulatory
Blog
Proprietary data formats are killing your AI initiative
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Blog

Discover why a lack of harmonization among data formats plus inconsistent metadata ontologies and taxonomies are hindering AI initiatives for biopharma.

2023-12-21
harmonization, data-analytics, scientific-ai
scientific-it, ai-and-data-science
Blog
Reimagining Quality Testing
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Blog

Discover how a digital QC lab transforms quality testing, making it faster, easier, and more accurate with data automation and advanced analytics.

2024-10-09
integration, contextualization, data-analytics, quality-and-compliance
quality-and-regulatory, science
qc-for-biologics, qc-for-small-molecules
Blog
Reinvented Resource Management Powers Innovation Cycles
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Blog

Workflow automation, resource management, resource utilization, reporting, lab productivity, central labs, core facilities, cloud, digitization, scientific data

2022-08-10
scientific-it
asset-utilization
Blog
Replatform and engineer your scientific data with the world’s largest, fastest-growing, purpose-built library
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Blog

Discover how the Tetra Scientific Data and AI Cloud provides the world’s largest, fastest-growing, purpose-built library of data integrations and data models that drive scientific outcomes.

2024-03-08
integration, contextualization, harmonization
scientific-it
Blog
Science at Your Fingertips - Across the Enterprise
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Blog

An interview with Graham McGibbon, Director of Strategic Partnerships, ACD/Labs

2022-07-26
science
Blog
Scientific AI trends in biopharma
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Blog

Facing declining R&D productivity and more complex manufacturing, biopharma turns to AI for help. Explore the latest trends in the industry.

2023-12-21
scientific-ai
science, ai-and-data-science
Blog
Scientific Business Analysis for Digital Transformation in the Lab
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Blog

Digital transformation is key to drive decision-making in the lab. Scientific business analysts can help making it a successful journey.

2023-04-11
sciborgs
scientific-it
Blog
Self-Service Pipelines democratize the creation and usage of data pipelines
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Blog

Discover how Tetra Self Service Pipelines simplify protocol design and empower customers to create their own custom data solutions.

2023-12-15
integration, contextualization, harmonization
scientific-it
Blog
Semantic middleware: Servicing the Next Generation of AI
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Blog

TetraScience sits down with Gordon Hayden, Chief Growth Officer, Semantic Web Company.

2023-05-22
contextualization, scientific-ai
scientific-it, ai-and-data-science
Blog
Sharing a Vision and Deep Customer Commitment
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Blog

A three-year partnership between HighRes Biosolutions and TetraScience builds on shared vision and deep customer commitment to create hands-free automation.

2022-04-14
scientific-it
Blog
Simplifying data journey monitoring with easy-to-use dashboard tools
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Blog

Read about the new File Journey feature in the Tetra Scientific Data and AI Cloud, a part of our TDP v3.6 release. Automatically track file movement, create audit trails, and check pipeline health.

2024-01-12
integration, quality-and-compliance
scientific-it
Blog
Solving Real-World Problems with Biomedical Natural Language Processing Technology
Read blog
Blog

An Interview with Dr. Frank Manion, Vice President for Innovations, Melax Tech. Read the full interview.

2023-03-09
scientific-ai
scientific-it, science, ai-and-data-science
Blog
Streamlining Flow Cytometry Analysis in the Tetra Data and AI Workspace
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Blog

Discover how the Tetra Data and AI Workspace transforms flow cytometry data workflows by bringing analytical tools to the cloud. Combined with the only purpose-built Tetra Scientific Data and AI Cloud, this workspace enables real-time collaboration, improved data quality, and strong data integrity. By centralizing data and analysis in the cloud, scientists can improve workflow efficiency and accelerate research timelines to propel the rapid development of innovative therapies.

2024-05-08
integration, data-analytics
scientific-it, science
flow-cytometry
Blog
Streamlining Industrial Data Collection
Read blog
Blog

A talk with Steve Sponseller, Senior Director, Business Development & Americas Channel for Kepware. Read the full interview.

2023-04-18
scientific-it, science
Blog
Strengthening Data Governance with Data Access Controls and Custom Roles
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Blog

Learn how TetraScience's data governance features help admins precisely and easily control access to scientific data and platform functionalities.

2024-09-19
scientific-it
Blog
Taming the Flow Beast: Casey's Epic Day of Cytometry, Data, and Questionable Server Space
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Blog

Flow cytometry is complex and data management challenging but there is a solution to it. Read how the day of a scientist can look like.

2024-09-17
science
flow-cytometry
Blog
Tetra Benchling Connector, Round-trip Lab Data Automation and Contextualization of Instrument Data using Metadata from Benchling
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Blog

Read about how the Tetra Benchling Connector is driving round-trip lab data automation and contextualization between instruments and the Benchling notebook, all captured in the Tetra Scientific Data and AI Cloud.

2024-01-16
integration, contextualization
scientific-it
chromatography
Blog
Tetra Catalysts: A Science and AI Focused Implementation
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Blog

Learn about Tetra Catalysts, an end-to-end offering with scientific and technology support.

2023-02-14
integration, sciborgs
scientific-it
Blog
Tetra Data for Shimadzu LabSolutions
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Blog

Learn how TetraScience and Shimadzu have partnered to integrate Shimadzu LabSolutions chromatography data with the Tetra Scientific Data and AI Cloud to centralize and standardize chromatography data. The new intermediate data schema (IDS) ensures easy access, compliance, and integration with analytics and AI tools. Discover how this release empowers chromatographers to unlock new insights through seamless data aggregation and analysis.

2024-05-06
integration, contextualization, harmonization
scientific-it, science
chromatography
Blog
Tetra Data upgrade for Chromeleon CDS: unlocking the comparability of chromatography data
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Blog

Discover how the latest Tetra Data for Chromeleon CDS is driving standardization and comparability for chromatographic data across a range of vendors.

2024-02-21
integration, contextualization, harmonization
scientific-it, science
chromatography
Blog
Tetra Data upgrade for SoftMax Pro: More modalities, modes, and metadata
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Blog

Discover the latest enhancements to Software Pro Tetra Data, now equipped to support more scientific use cases.

2023-11-17
contextualization, harmonization
scientific-it
biologics-characterization, high-throughput-screening, qc-for-biologics, qc-for-small-molecules
Blog
Tetra Empower Agent v5.2: Reducing injection data latency and improving reliability
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Blog

Discover how Tetra Empower Agent v5.2 optimizes data collection from Waters Empower CDS, reducing latency, enhancing scalability, and improving reliability.

2023-12-02
integration
scientific-it, science
chromatography
Blog
Tetra Partner Network: An Interview with Klemen Zupancic, CEO, SciNote
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Blog

A recent interview with Klemen Zupancic, Ph.D., CEO of SciNote, maker of a powerful Electronic Lab Notebook (ELN).

2022-02-16
scientific-it, science
Blog
TetraScience Sciborgs Drive Better Science
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Blog

Sciborgs are experts that combine scientific and technology expertise and deep understanding of the Tetra Scientific Data and AI Cloud. Read more in this blog.

2023-02-22
Blog
TetraScience improves SQL performance, data transformation capabilities, and role management with the latest update to its Tetra Data Platform
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Blog

Tetra Data Platform v4.1 enhances TetraScience's lakehouse architecture with faster SQL performance, easier data merging, workflow scheduling, and much more.

2024-08-28
integration
scientific-it
Blog
The Digital Lab Needs an Intermediate Data Schema (IDS): a First Principle Analysis
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Blog

This post highlights how fragmented, siloed scientific data cannot support data liquidity in a digital lab.

2020-04-26
contextualization, harmonization
scientific-it
Blog
Three Trends in Lab Automation
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Blog

Build your lab of the future with TetraScience. Here are the top technology trends accelerating scientific innovation.

2022-12-06
integration, contextualization, harmonization
scientific-it, ai-and-data-science
Blog
Timeless Data Access: Connecting Our Digital Past to Our Future
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Blog

We are pleased to welcome Intact Digital to the Tetra Partner Network, and excited to share a recent conversation with Natasa Milic-Frayling, Founder and CEO.

2022-12-21
quality-and-compliance
scientific-it, quality-and-regulatory
Blog
Traditional SDMS is not an option anymore
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Blog

Searching for an SDMS? Consider a scientific data and AI cloud first.

2023-10-26
integration, contextualization, harmonization, quality-and-compliance
scientific-it
Blog
Turbo-charging ADME / DMPK Data Processing
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Blog

An interview with Larry Elvebak, Ph.D., Founder and President, Gubbs. Read the full interview.

2022-12-15
contextualization
scientific-it, science
Blog
Unlock scalable access to engineered scientific data from Athena, Snowflake, Redshift, and Databricks
Read blog
Blog

Learn how the Tetra Scientific Data and AI Cloud enables organizations to seamlessly consume high-quality engineered Tetra Data from any analytical or SQL tool their e

2023-11-17
scientific-it, ai-and-data-science
Blog
Unlock the Power of Your ELN and LIMS
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Blog

How Tetra Data Platform (TDP) and Tetra Data help scientific data flow among ELN/LIMS, instruments, informatics applications, and analytics

2022-04-20
integration, harmonization, data-analytics
scientific-it, science
Blog
Unlocking Deeper Insights from Chromatography Data
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Blog

Discover how a pioneering app transforms the way scientists analyze chromatography data, enabling them to visualize performance across runs, projects, and sites.

2024-09-27
data-analytics
quality-regulatory, ai-and-data-science
Blog
Use the Tetra GxP Package to reduce your validation cost and time
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Blog

Streamline GxP validation with the Tetra GxP Package. Learn how it can save you time, effort, and cost while speeding up value realization.

2024-03-27
quality-and-compliance
quality-and-regulatory
Blog
Using Voice Assistants to Create Laboratory Efficiency
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Blog

We sit down with Ahmed Khalil, Co-founder and CEO, Elementa Labs. Read the full interview.

2023-04-12
integration
scientific-it, science
Blog
What you should know about the Tetra Integration and Tetra Data Libraries
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Blog

Read our letter to customers: The TetraScience project roadmap.

2023-10-30
integration, contextualization, harmonization
scientific-it
Blog
Why Biopharma Needs an End-to-End, Purpose-Built Platform for Scientific Data — Part 1
Read blog
Blog

Why is biopharma scientific data so hard to manage? Why do do-it-yourself data warehouse solutions so often fail?

2022-03-23
Blog
Why Tetra-hosted multi-tenant deployments are now the default and only option
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Blog

Explore the benefits of Tetra Data Platform's multi-tenant deployment for faster feature access and upgrades, while reducing the total cost of ownership.

2024-03-18
quality-and-compliance
scientific-it, quality-and-regulatory
Blog
You got mail! It's a warning letter...
Read blog
Blog

Data centricity makes GxP compliance easier. Learn how with TetraScience.

2023-02-09
integration, contextualization, harmonization, quality-and-compliance
quality-and-regulatory
Fact Sheet
A science-led approach
Download
Fact Sheets
scientific-it, science
sciborgs

Maximizing ROI from scientific data and workflow solutions hinges on aligning IT, scientific, and data science teams. However, many organizations struggle with limited resources, best practices, and expertise in new technologies. 

Tetra Catalysts, led by our elite team of Tetra Sciborgs, addresses these challenges by bridging gaps between departments, identifying high-impact scientific use cases, and developing strategies to optimize data utilization and AI readiness. This approach boosts the value of Tetra Scientific Data and AI Cloud™ deployments by up to 10x.

Fact Sheet
Tetra Scientific Data and AI Cloud for Executives
Download
Fact Sheets
2023-03-22

Biopharma executives need to accelerate discovery, advance better drug candidates, and deliver a more robust portfolio. This one-page guide features real-world case studies from leading biopharmaceutical companies demonstrating how the Tetra Scientific Data and AI Cloud™ has proven capabilities in:

  • Solving immediate data problems and accelerating workflows
  • Improving use cases across the value chain (HTS, chromatography, CDMO automation, etc.)
  • Identifying hidden data problems that TetraScience can solve
  • Reducing cost, improving productivity, and accelerating time to scientific insight

Fundamental breakthroughs in life sciences are possible for the biopharmaceutical organizations that fully harness their scientific data. Read our guide and discover how we can help.

Fact Sheet
Verification and Validation Strategy
Download
Fact Sheets
2023-08-24
quality-and-regulatory
integration, quality-and-compliance

The purpose of this document is to outline the Verification and Validation (V&V) strategy employed by TetraScience to ensure the Tetra Data Platform (TDP) performs as intended against user requirements. By aligning with this strategy, customers can leverage TetraScience deliverables to significantly reduce in-house validation efforts. It should be noted that a customer purchasing this package is still responsible for defining and ensuring the “last mile” validation of their own specific configuration of the platform, as well as defining sufficient standard operating procedures to operate and secure the system.

Fact Sheet
TetraScience Course Catalog
Download
Fact Sheets
2023-06-20
scientific-it, ai-and-data-science

Our comprehensive catalog of courses in TetraU, is your gateway to acquiring invaluable knowledge and expertise on the Tetra Scientific Data and AI Cloud. Whether you're a beginner seeking to explore the foundations or an experienced professional looking to enhance your skills, our carefully curated selection of courses has something for everyone.

  • Dive into engaging modules led by TetraScience experts, designed to deliver practical insights and best practices.
  • Utilize foundational and in-depth modules along with hands-on workshops, offering a blend of knowledge and real-world application.
  • Ensure you're equipped with expertise to help you thrive while using the Tetra Scientific Data and AI Cloud.

Don't miss out on this opportunity to unlock your potential and excel in your endeavors. Review the catalog and enroll in TetraU to embark on an exciting journey of growth and success!

Fact Sheet
TetraScience: The Scientific Data Cloud Company
Download
Fact Sheets
2023-06-21
scientific-it, science
chromatography, cxo-collaboration, flow-cytometry, high-throughput-screening
integration, contextualization, harmonization

The Tetra Scientific Data Cloud helps accelerate discovery throughout the product lifecycle. Read this case study to see how TetraScience solved data challenges within:

  • Enterprise biopharma
  • Gene-therapy CDMO
  • Biotech

The case study fact sheet also covers specific use cases where TetraScience integrations have catalyzed discovery and improved process efficiency. These include:

  • Hamilton Microlab STAR (Sequential Transfer and Aliquot Robot) liquid handler
  • ÄKTA Unicorn
  • PerkinElmer Envision
  • Tecan
  • Titian
  • Dotmatics
  • Novocyte Quanteon Cytometer
  • Cytoflex LX Flow Cytometer

Find out why 12 out of 25 top biopharmas trust TetraScience with their data by downloading your copy today.

Fact Sheet
How scientists can innovate with TetraScience
Download
Fact Sheets
2022-12-01
scientific-it, science
chromatography, cxo-collaboration, flow-cytometry, high-throughput-screening
integration, contextualization, harmonization

Scientists face several data challenges that impede workflow efficiency and their ability to access and analyze experimental results. These challenges include:

  • Scattered scientific data across instruments and applications
  • Inaccessible or poor-quality experimental data
  • Manual processes to move and prepare scientific data

This guide for scientists provides a side-by-side comparison of scientific data before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses scientific data challenges and enables you to achieve better and faster science.

Fact Sheet
How scientific IT benefits from TetraScience
Download
Fact Sheets
2022-12-21
scientific-it
integration, contextualization, harmonization

Life sciences IT across R&D, Quality, and Manufacturing face several challenges that impede their ability to collect, manage, and distribute data to their teams. These challenges include:

  • Scattered, disconnected silos that make accessing and utilizing scientific data difficult
  • Maintaining and developing custom, point-to-point instrument and application integrations
  • Time and expertise to build in-house data solutions

This guide for scientific IT provides a side-by-side comparison of data access, technology flexibility, and solution scalability before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses these scientific data challenges and enables you to achieve better and faster science.

Fact Sheet
How TetraScience empowers scientific data engineers
Download
Fact Sheets
2023-02-17
scientific-it
integration, contextualization, harmonization

Scientific data engineers in biopharma organizations manage significant challenges as they provide scientists and data scientists with the high-quality data they need. These challenges include:

  • Consolidating data from complex workflows
  • Navigating scattered, ad hoc file storage across massive companies
  • Tedious, error-prone manual transcription processes
  • Poor metadata attribution

This guide explains how The Tetra Scientific Data and AI Cloud™ solves these issues and empowers scientific data engineers to build and configure pipelines that enable downstream usage of informatics applications, provide centralized and searchable data storage, and power advanced analytics, visualization tools, and AI/ML.

Fact Sheet
Creating data in the Allotrope Simple Model (ASM) at scale using the TetraScience Intermediate Data Schema (IDS)
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Fact Sheets
2023-08-14
scientific-it
integration, contextualization, harmonization

A few years after TetraScience decided to build an Intermediate Data Schema (IDS) on JSON, Allotrope Foundation developed the Allotrope Simple Model (ASM), which also uses JSON.

If your organization is interested in adopting the ASM, you can use the Tetra Scientific Data and AI Cloud to transform your data into the ASM at scale. To fine-tune this process, TetraScience collaborated with a top 25 pharma company to integrate primary lab data into the cloud, engineer the data into our IDS, and then transform data into the ASM.

Download this fact sheet to learn how and why to transform data into the ASM by first converting files to the TetraScience IDS.

Fact Sheet
Enabling AI/ML through data maturity
Download
Fact Sheets
2023-07-10
scientific-it, ai-and-data-science
integration, contextualization, harmonization, data-analytics, scientific-ai

AI/ML-powered science is rapidly advancing biopharmaceutical science. However, biopharma companies have a problem. AI/ML is not possible without connected ecosystems, centralized data stores, and harmonized, enriched, analytics-ready data. In other words, biopharmas lack the data maturity AI/ML requires to function. That’s where TetraScience comes in.

Read in this fact sheet, how TetraScience can help unlock your data and unleash your AI/ML with the Tetra Scientific Data and AI Cloud.

Fact Sheet
Tetra Data Platform 21 CFR Part 11 Assessment
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Fact Sheets
2022-11-22
quality-and-regulatory
quality-and-compliance

Following the US FDA’s 21 CFR Part 11 regulation is a critical element for FDA-regulated industries to ensure compliance. In this document we assess the different sections regarding the compliance of the Tetra Data Platform with the requirements for Electronic Records and Electronic Signatures as defined in the guidance document. It helps identify the coverage and responsibility of each of these sections.

Fact Sheet
Ensuring data integrity with TetraScience
Download
Fact Sheets
2023-08-14
scientific-it, quality-and-regulatory
integration, contextualization, quality-and-compliance

Biopharmaceutical organizations need a robust approach to maintaining data integrity. The value, volume, and variability of their scientific data demand it.

ALCOA++ is a set of principles used in the life sciences and other regulated spaces to ensure data integrity. Learn how the Tetra Scientific Data and AI Cloud™ upholds ALCOA++ throughout the entire scientific data journey, from data collection to analysis.

Fact Sheet
Key Takeaways: Scalable Data Strategies for Scientific AI-enabled Breakthroughs
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Fact Sheets
2023-12-04
scientific-it, science, ai-and-data-science
integration, contextualization, harmonization, data-analytics, scientific-ai

Get the essentials from an expert discussion on AI featuring AWS and TetraScience.

Artificial intelligence (AI) stands on the brink of revolutionizing the biopharmaceutical industry. It promises to slash time to market, lower costs, mitigate risks, and create novel therapies. However, the main barrier to realizing these benefits is not the development of AI models but rather the quality and accessibility of the scientific data that feeds them.

The recent webinar "Scalable data strategies for scientific AI-enabled breakthroughs" featured insights from industry experts Naveen Kondapalli, Senior Vice President of Product and Engineering at TetraScience, and Himanshu Jain, Healthcare and Life Sciences Strategy Leader at AWS. They delved into the data challenges underlying scientific AI and discussed strategies to overcome them.

In this recap, we summarize four key takeaways from the conversation that will jumpstart your AI journey.

Research Report
AWS & TetraScience: 500 Pharma Executives Research Survey
Download
Research Reports
2022-11-16

A groundbreaking research survey of 500 biopharma executives reveals why life sciences companies need to rethink their data platforms. Replatforming scientific data to an open cloud platform while transforming the data to FAIR (Findable, Accessible, Interoperable, Reusable) principles impacts three key industry drivers:

  • Speed: Learning from experiments faster, reducing time to market for final molecules
  • Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI)
  • Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

Executives say that replatforming scientific data to an open cloud platform would accelerate time to market by 65%.

Each one-day delay in getting a drug or therapeutic to market costs biopharmas an average of $1.26 million in lost revenue and/or loss of first-mover advantage.

Slowness to market and lost revenue are not the end of the story. Cloud ‘laggards’ spend 3.7X more on inefficient infrastructure compared to cloud leaders.

Download this report to calibrate your scientific data strategy.   Learn how utilizing FAIR data in the cloud is a game changer.

scientific-it, science
Research Report
State of Digital Lab Transformation Industry Survey: Why Biopharma Is Replatforming To The Cloud
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Research Reports
2022-11-16

TetraScience teamed up with Pharma IQ to survey biopharma industry insiders and ask about their organizations’ strategies for cloud adoption, digital labs, FAIR data, and the use of artificial intelligence and machine learning (AI/ML).

The 2022 State of Digital Lab Transformation in Biopharma Report shows the importance of digitalization in the pharmaceutical industry and makes a strong case for cloud data platform automation. Industry leaders identify this move as critical in order to improve scientific outcomes and accelerate discovery.

Key findings include:

  • 87% of survey respondents claim that maintaining point-to-point, DIY integrations is burdensome.
  • 74% of biopharma organizations are replatforming their scientific data to the cloud to enable scale, resilience, and faster time to market.
  • 49% of bench scientists' time is spent on manual data retrieval, cleansing, and transformation.

Basic data-to-cloud replatforming is accelerating, but life sciences organizations still face obstacles. About half of the respondents of our survey say that “less than half” or “none” of their data can now be considered FAIR.

Accelerate Digital Transformation in Biopharma

A cloud-based scientific data platform can enable life sciences organizations to speed lab digitization, provide FAIR data to accelerate research and scientific outcomes– adapting to their changing business needs. Download our full report and discover why these initiatives of data automation in the cloud are gaining momentum in biopharma.

scientific-it
integration, contextualization, harmonization, data-analytics, scientific-ai
Video
Data Access Controls and Custom Roles
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2024-09-19

Biopharma companies must carefully control access to scientific data based on user roles. TetraScience addresses this need with two powerful data governance features—Custom Roles and Data Access Controls. These tools enable administrators to precisely manage access to data and functionalities within the Tetra Scientific Data and AI Cloud.

Watch this demo to see how Data Access Controls and Custom Roles provide secure, tailored access, helping you maintain compliance and protect proprietary information across your organization.

scientific-it
Video
Chromatography Insights in the Tetra Data and AI Workspace
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2024-08-06

The Chromatography Insights app in the Tetra Data and AI Workspace makes it easy to track column, method, and system performance across all your chromatography systems.

In this demo, you'll discover:

  • The Tetra Data Lakehouse architecture
  • 3 illustrative use cases
  • Scientific outcomes driven by the Chromatography Insights app
asset-utilization, chromatography
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics
Video
Accelerating chromatography workflows: Integration with Empower CDS and Veeva Vault LIMS
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2024-07-26

Discover how the Tetra Scientific Data and AI Cloud integrates with Waters Empower Chromatography Data System (CDS) and Veeva Vault LIMS to enable a seamless flow of data between them. The platform also replatforms and engineers the chromatography data, optimizing it for analytics and AI in downstream applications.

Watch the demo to see this workflow in action.

chromatography
scientific-it
integration, contextualization, harmonization
Video
Accelerating gene therapy workflows: Integration with Bio-Rad ddPCR and Veeva Vault LIMS
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2024-07-26

Discover how the Tetra Scientific Data and AI Cloud integrates with Bio-Rad's droplet digital polymerase chain reaction (ddPCR) systems and Veeva Vault LIMS to enable a seamless flow of data between them. The platform also replatforms and engineers the ddPCR data, optimizing it for analytics and AI in downstream applications.

Watch the demo to see this workflow in action.

scientific-it
integration, contextualization, harmonization
Video
Scientific Data Engineering Evolution: Low-Code Scripting with Python
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2024-07-15

Discover how low-code scripting on the Tetra Data Platform streamlines data processing and boosts productivity. This feature allows scientific data engineers to easily create pipelines using Python directly within the platform.

In this demo, you'll learn how to label files using a Python script.

scientific-it
contextualization
Video
Searching for Data
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2024-07-03

Explore the powerful search functionality within the Tetra Data Platform. Learn how to search, filter, and manage your scientific data with ease.

In this demo, you'll learn about:

  • Indexed data: Understand what data and metadata are indexed for search within the platform.
  • Tetra Data Platform user interface: Use the intuitive UI to search and filter your data.
  • Querying in Snowflake: Build and execute queries within Snowflake to extract specific data.
  • Querying with Elasticsearch: Leverage Elasticsearch and the platform's API for advanced data searches.
scientific-it
contextualization
Video
Collecting Data: Versioning and Lineage
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2024-07-03

Discover file versioning and lineage within the Tetra Data Platform. The platform allows you to easily monitor each file's entire lifecycle. 

In this demo, you'll learn how to:

  • Explore comprehensive file details: Access detailed information about each file, such as metadata and source.
  • Visualize the complete file journey: Track every step, including upload, indexing, and triggered pipelines.
  • Manage file versions: View, upload, and switch between different versions of files with ease.
scientific-it
contextualization, harmonization
Video
Data Access Management
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2024-06-27

Discover how the Tetra Data Platform empowers you with robust data access controls, ensuring secure access to your files.

In this demo, you'll learn about:

  • Metadata collection and how it helps to define access groups
  • Components of data access controls
  • Setting up access groups
  • Impact of access groups on search results
scientific-it
contextualization
Video
Scientific Data Engineering Evolution: Event Subscriptions
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2024-06-26

Event subscriptions allow you to programmatically notify downstream systems of key events within the Tetra Data Platform (TDP). By subscribing to specific TDP events, you can automatically trigger custom apps and business processes to accomplish follow-on actions.

In this demo, you'll learn about:

  • Supported event types
  • Examples of use cases
  • Creating event subscriptions
scientific-it
Video
Labeling and Contextualization
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2024-10-04

Discover how the Tetra Scientific Data and AI Cloud™ enhances data management and search capabilities with advanced labeling and contextualization.

In this demo, you'll learn how to apply:

  • Static labels: Automatically applied to incoming files based on source information (e.g., laboratory number and site).
  • Dynamic labels: Extracted from file names, paths, or metadata (e.g., well locations and instrument info).
  • Third-party labels: Added from external sources like CSV files or databases (e.g., sample ID).

Explore these features to streamline your data management and make data searching more efficient.

scientific-it
contextualization
Video
Scientific User Experience: Projects
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2024-06-19

Data is at the heart of scientific decisions. The Tetra Scientific Data and AI Cloud places the scientist's user experience at the forefront. With its intuitive search and filter features, scientists can easily access, organize, and analyze data.

This demo (Part 3) introduces a new feature called Projects, which helps you quickly organize and access data associated with specific labs, experiments, instruments, or any other type of project. Projects are organized by user-defined attributes and automatically update with new data when relevant files are uploaded to the platform.

Watch the other videos in the series: 

science
Video
Scientific User Experience: Saved Searches
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2024-06-18

Data is at the heart of scientific decisions. The Tetra Scientific Data and AI Cloud places the scientist's user experience at the forefront. With its intuitive search and filter features, scientists can easily access, organize, and analyze data.

In this demo (Part 2), you'll discover how to store and share search criteria for reuse.

Watch the other videos in the series: 

science
Video
Recap: How the cloud and AI are transforming pharmaceutical quality control
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2024-06-12

Get a 5-minute recap of our webinar on how a modern, cloud-based platform and laboratory information management system (LIMS) can transform QC to meet the demands of expedited product releases. 

This webinar discussed how to:

  • Move from a legacy LIMS to an advanced, future-proof, and compliant LIMS in the cloud
  • Build a foundational data strategy for digital QC, enabling easier compliance and improved quality
  • Empower data-driven decision making through dashboards and AI
  • Accelerate batch release with improved right-first-time test execution
  • Reduce total cost of ownership while increasing decision speed and confidence using a holistic approach to quality 

Watch the entire webinar on demand.

qc-for-biologics, qc-for-small-molecules
science, ai-and-data-science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, scientific-ai, quality-and-compliance
Video
FPLC Data Explorer for Cytiva UNICORN
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2024-06-07

This video demonstrates how structured UNICORN data can be analyzed and compared using the FPLC Data Explorer with the Tetra Data and AI Workspace. The Tetra Data and AI Workspace integrates data and data apps in a single environment, so scientists can analyze data intuitively and more efficiently than ever before.

With UNICORN data, scientists can gain valuable insights by visualizing, comparing, and analyzing chromatograms and peak alignments. Secure data storage, automation, and integration allows users to access data globally and significantly reduce non-value-adding activities.

This innovative approach has proven to decrease time to insight from 1 week to 1 day, accelerate basic tasks like overlaying chromatograms from 1 day to 5 minutes, and improve scientific workflow efficiency allowing the reallocation of about 5,000 hours per year of valuable resources.

bioprocessing-purification, chromatography
scientific-it, science
integration, contextualization, harmonization, data-analytics
Video
Paradigm Shift in Scientific Data Management and Analysis
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2024-05-06

Learn about the paradigm shift in scientific data management as organizations worldwide adopt modern strategies for analytics and scientific AI. This video introduces the shift from on-premises to cloud-based storage, the transformation from file-based to engineered data, and the move to an event-driven processing model. Learn how TetraScience's automated workspace and endpoint-agnostic data cloud empower multi-company collaboration, enabling scientists to transform data into insights that fuel advanced analytics, machine learning, and AI. Discover the future of data management today.

scientific-it, ai-and-data-science
integration, contextualization, harmonization
Video
Scientific User Experience: Search Page
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2024-05-06

Data is at the heart of scientific decisions. The Tetra Scientific Data and AI Cloud places the scientist's user experience at the forefront. With its intuitive search and filter features, scientists can easily access, organize, and analyze data.

In this demo (Part 1), you'll discover how to:

  • Navigate the platform’s search page
  • Employ hierarchical data views
  • Utilize advanced filtering and bulk operations to streamline your workflow

Dive in and discover how our search features can transform your scientific data journey.

Watch the other videos in the series: 

science
Video
Tetra Data and AI Workspace: FlowJo
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2024-04-18

The Tetra Data and AI Workspace transforms how scientists interact with their data. Applications can now be deployed in a cloud environment alongside your scientific data. The Data and AI Workspace supports applications from popular software providers, custom apps built with industry feedback, and innovative Scientific AI use cases developed by TetraScience.

In this demo, we'll showcase FlowJo in the Data and AI Workspace. You'll see how to easily import flow cytometry data into FlowJo, perform analysis in the cloud, and automatically send the results to an electronic lab notebook.

With the Data and AI Workspace, you can:

  • Centralize your scientific data securely
  • Reduce manual scientific labor
  • Ensure data integrity at every step
  • Automate workflows efficiently
  • Analyze your data from anywhere in the world
  • Integrate seamlessly with downstream targets using API and SQL
flow-cytometry
science, ai-and-data-science
integration, contextualization, data-analytics
Video
Scientific AI Companion for Data Analysis
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2024-04-18

Our new AI-powered tool transforms how scientists analyze their data. With simple conversational prompts, they can retrieve data and generate visualizations—in just seconds. Tetra Scientific AI will help scientists save time, eliminate errors, and gain deeper insights into their data.

This demo shows how a scientist can quickly aggregate and analyze data from over 500 samples in a gene editing experiment, without manual data handling or processing.

science, ai-and-data-science
integration, data-analytics, scientific-ai
Video
Media Formulation Optimization
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2024-04-18

How efficiently cultured cells can produce a therapeutic protein depends largely on the media. However, developing an optimal formulation is a complex challenge. The permutations of media components and their concentrations are immense. Scientists often have to screen dozens to hundreds of formulations in the lab to identify the most effective ones. Now, AI can drastically speed up this process.

The Tetra Media Formulation Optimizer uses an advanced in silico model to predict the best formulations for a given cell line. This innovation has the potential to reduce wet lab experiments by up to 88 percent.

bioprocessing-purification
science, ai-and-data-science
data-analytics, scientific-ai
Video
Lead Clone Selection Assistant
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2024-04-16

Lead clone selection is usually a time-consuming and resource-intensive phase in cell line development. However, AI is poised to transform this process.

Introducing the Tetra Lead Clone Selection Assistant, powered by Tetra Scientific Data and AI Cloud™ and Google Cloud Vertex AI. This application can predict the most promising lead clones in silico, enabling faster and better decision making. As a result, it has the potential to shorten lead clone selection from five months to just one month.

science, ai-and-data-science
data-analytics, scientific-ai
Video
Automating analysis of NGS data with TetraScience and AWS HealthOmics
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2024-02-23

Discover how combining the Tetra Scientific Data and AI Cloud™ with AWS HealthOmics streamlines and enhances the analysis of next-generation sequencing (NGS) data. This solution provides a comprehensive framework for metadata management, facilitating the analysis of properly contextualized datasets.

biologics-characterization
scientific-it, science, ai-and-data-science
integration, contextualization, data-analytics
Video
Bidirectional data workflows between Benchling and Chromeleon
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2024-02-15

Biopharma scientists and IT struggle to ensure a seamless flow of data between an electronic lab notebook (ELN) and a chromatography data system (CDS). They often resort to inefficient manual processes. Consequently, only a fraction of the chromatography data and context is captured, leaving the rest siloed. To make matters worse, most CDS data is trapped in proprietary formats, making it inaccessible.

Bidirectional data workflows using the Tetra Benchling Connector and Tetra Chromeleon Agent solve these challenges and bring round-trip lab automation into scientific workflows. See the tools in action in this video.

For more information, read our blog post.

chromatography
scientific-it
integration
Video
Collecting Data: Files
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2024-01-18

Learn how the Tetra Data Platform collects files from scientific instruments and centralizes them in the cloud. This demo covers the following topics:

  • Automated data collection
  • Automated house cleaning
  • Centralized scientific data cloud
  • Automated notifications
scientific-it
integration, contextualization
Video
Collecting Data: Applications
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2024-01-15

Discover how the Tetra Data Platform collects data from applications, including chromatography data systems, ELNs, and LIMSs. This demo highlights:

  • Automated data collection
  • Leveraging of vendor APIs/SDKs
  • Contextualization with metadata
  • Advanced search
chromatography
scientific-it, ai-and-data-science
integration, contextualization
Video
Contextualization with Metadata
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2023-12-21

Explore how the Tetra Data Platform contextualizes data to make it findable and accessible. This demo shows how the platform enables users to enrich primary data with metadata through various methods, such as

  • Manual addition
  • Agent configuration
  • Extraction from file names
  • Retrieval from registries or applications
  • API

scientific-it
contextualization
Video
One Platform for All Scientific Data (Scientific Data is Complex, Managing It Doesn’t Have to Be)
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2023-02-16

Biopharma organizations continue to spend time and money managing scientific data scattered across disconnected silos, ad hoc file shares, and legacy solutions. Why not future-proof with one open platform for all scientific data?

The Tetra Scientific Data Cloud™, purpose built for scientific data, enables IT to say goodbye to countless hours spent maintaining dozens or hundreds of instruments and informatics software applications. With open and centralized data in the cloud, scientists are able to search faster and more easily, create new workflows, and gain insights from analytics, visualizations, and AI/ML. Unlock innovation with the Tetra Scientific Data Cloud.

Watch the video to see how the Tetra Scientific Data Cloud simplifies data management and unlocks innovation.

scientific-it, science
integration, contextualization, harmonization
Video
Tetra Data to Benchling Notebook
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2023-09-18

See how Tetra Data is pushed into Benchling Notebook. The TetraScience integration to Benchling is powered by Tetra Pipelines, utilizing DataWeave as the simple transformation scripting language. DataWeave scripts enable scientific data engineers to configure pipelines that match their data schemas in Benchling without worrying about the underlying code or infrastructure of the integration mechanism.

Presented by Ian Cooper, Integrations Architect, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Learn more about the Tetra Benchling Integration.

scientific-it
integration, harmonization
Video
Tetra Data Platform v3.6: Improvements for scientific data engineers
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2023-11-19

Explore some of the new features and enhancements in Tetra Data Platform v3.6 designed to benefit scientific data engineers. This video shows how low-code DataWeave scripting allows engineers to build data pipelines with fewer developer resources than building custom protocols. It also demonstrates how bulk data processing makes it easier to reprocess files after changes to pipeline functionality.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
integration, contextualization
Video
Tetra Data Platform v3.6: Pluggable connectors
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2023-11-19

See how the pluggable connector framework provided with Tetra Data Platform v3.6 enables faster integration of scientific instruments and applications with the Tetra Scientific Data Cloud. Teams can take advantage of newly released connectors without having to wait for a platform upgrade. This video shows how a user can install a new connector in the cloud, configure the connector, and then later upgrade the connector to a new version as soon as it’s available.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
integration
Video
Tetra Data Platform v3.6: Multi-byte character support
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2023-11-19

Learn how the multi-byte character support introduced with Tetra Data Platform v3.6 empowers scientists to use Japanese language in their workflows. See in this video how scientists now can:

  • Ingest scientific data with multi-byte characters
  • Enrich data with multi-byte characters in file labels
  • Search files that use multi-byte characters
  • Use labels with multi-byte characters as trigger conditions for pipelines

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
contextualization
Video
Tetra Data Platform v3.6: Increased file journey visibility
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2023-11-19

See how the file journey timeline capabilities in Tetra Data Platform v3.6 enables platform administrators to visualize file activity in various stages of processing. Using health monitoring, file information, and events timeline pages, users can track Tetra Data creation at any moment and trace files to confirm data integrity.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
integration, contextualization, quality-and-compliance
Video
Tetra Data Platform v3.6: IDS Entity Relationship Diagrams (ERDs)
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2023-11-19

Discover how the introduction of Intermediate Data Schema (IDS) Entity Relationship Diagrams (ERDs) in Tetra Data Platform v3.6 offers a more intuitive way to interface with schemas via SQL. This video shows how ERDs provide a visual map of how all SQL data tables are related to each other. ERDs can help streamline the process of building analytics and AI applications using engineered scientific data.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
data-analytics
Video
Tetra Data Platform v3.6: Self-service pipelines
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2023-11-19

Learn how Tetra Data Platform v3.6 streamlines the process of creating custom pipelines that transform raw scientific data into AI-ready Tetra Data. This video provides two examples of custom pipelines: one adds labels to data; the other also harmonizes, further enriches, and then pushes data to a third-party application. For both examples, the video shows how newly introduced protocol.yml files help simplify pipeline development.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it
integration, contextualization, harmonization
Video
Tetra Data Platform v3.6: Enhanced data findability
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2023-11-27

Learn how Tetra Data Platform v3.6 makes it easier for scientists to find their data on the TetraScience platform. In particular, this video shows how scientists can more easily query for multiple terms. It also shows how they can select elements within Intermediate Data Schema (IDS) files, search for those terms, and find all IDS and raw files that contain those elements, providing greater visibility into raw data than before.

To learn more about the new features and enhancements in v3.6, read the full release notes.

scientific-it, science
contextualization
Video
Streamlining Research with the Tetra Scientific Data Cloud
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2023-11-06

Discover how biopharma teams can automate data processing and unlock new data-driven insights with the Tetra Scientific Data Cloud. Through a plate reader demo, this video describes how the Tetra Scientific Data Cloud harmonizes and enriches raw instrument data. It can then automatically correlate sample information with scientific results, eliminating the time-consuming, error-prone process of copying and pasting data.

The video also explains how teams can translate scientific data into insights using visualization tools built on the Tetra Scientific Data Cloud. In the demo, a visualization tool transforms plate reader information into heatmaps and IC50 curves, which can be used to accelerate discovery of unique drug candidates through data science analysis.

scientific-it, science, ai-and-data-science
integration, contextualization, harmonization, data-analytics
Video
Streamlining Data Processing Between an ELN and Lab Equipment
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2023-10-30

Learn how the Tetra Scientific Data Cloud can help organizations simplify data processing while employing electronic lab notebooks (ELNs), instrument control software, and visualization tools. Using a small-scale fermentation experiment as an example, this video highlights how the Tetra Scientific Data Cloud can help an upstream processing team reduce manual steps as they create an experiment in an ELN, add metadata, trigger a run, and then automatically capture results as harmonized data back in the ELN. Harmonized data can then be used in a visualization dashboard or other downstream analytics or AI applications.

bioprocessing-purification
scientific-it, science
integration, contextualization, harmonization
Video
SIMPLO Dashboard for Chromatography: Method Performance Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on method performance, which is relevant to lab managers and quality control teams. By using this dashboard, you can quickly identify the most common culprits of method performance issues. Benefits include reduced downtime and rework, enhanced data integrity, and superior operating performance.

chromatography
science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics
Video
SIMPLO Dashboard for Chromatography: Stability Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on stability, which is relevant to scientists in quality control, formulation, and development. The SIMPLO dashboard streamlines analysis of stability studies, enabling you to focus on deriving insights from the data instead of aggregating the data.

chromatography, qc-for-biologics, qc-for-small-molecules
science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Video
SIMPLO Dashboard for Chromatography: System Usage Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on system usage, which is relevant to lab managers and purchasing decision makers. By tracking the usage of all your chromatography systems, you can obtain a comprehensive view of fleet utilization and make more informed decisions on capital expenditure.

asset-utilization, chromatography
science
integration, contextualization, harmonization, data-analytics
Video
SIMPLO Dashboard for Chromatography: Instrument Performance Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on instrument performance and system suitability, which is relevant to analysts and lab technicians. The SIMPLO dashboard streamlines analysis of system suitability testing, enabling you to quickly identify trends from multiple injections or across multiple instruments.

chromatography
science
integration, contextualization, harmonization, data-analytics
Video
SIMPLO Dashboard for Chromatography: Executive Overview
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2023-12-08

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This video provides an overview of six dashboards within the application, the context for their use, and the benefits provided to the user. Learn how SIMPLO empowers chromatography analysts to quickly and easily analyze their data, leading to faster and better scientific outcomes.

For a deeper dive, watch our SIMPLO dashboard demos:

chromatography
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Video
SIMPLO Dashboard for Chromatography: Column Utilization Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on column utilization, which is relevant to chromatography scientists and lab technicians. By tracking the history of each chromatography column in detail, you can ensure the right column is used for any given experiment and retire old columns before they cause out-of-specification events.

asset-utilization, chromatography
science
integration, contextualization, harmonization, data-analytics
Video
Sciborgs in action: Bioassay development and high-throughput screening
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2023-11-30

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate scientific outcomes with the Tetra Scientific Data and AI Cloud™.

In this video, you'll learn how they improved bioassay development and high-throughput screening for two biopharma customers.

Sciborgs are at the heart of Tetra Catalysts. They are an elite team of Scientific Business Analysts and Scientific Data Architects embedded in your organization who focus on business outcomes and identify high-impact areas to maximize ROI.

For a detailed look at our Sciborgs, read our blog post on how Sciborgs Drive Better Science.

high-throughput-screening
scientific-it, science
sciborgs
Video
SIMPLO Dashboard for Chromatography: Compliance Demo
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2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on compliance metrics, which are particularly useful to quality control and quality assurance teams but are also relevant to lab scientists who use chromatography data systems. By proactively tracking this information, you can make data-driven decisions for risk management and prevent out-of-specification events.

chromatography, qc-for-biologics, qc-for-small-molecules
science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Video
Self-Service Tetra Data Pipelines
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2023-09-18

See how to build custom workflows with Self-Service Tetra Data Pipelines. TetraScience has a large and growing library of productized pipelines to collect, enrich, harmonize, and publish data. However, at times, you may need to expand the platform with customized capabilities. That's where Self-Service Tetra Data Pipelines come in. They're easy to code, written in Python, and scalable.

Presented by Jeremy Karnowski, Principal Technical Trainer, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Learn more about Self-Service Tetra Data Pipelines.

scientific-it
integration, contextualization, harmonization
Video
Meet our Sciborgs
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2023-06-06

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate time-to-value with the Tetra Scientific Data Cloud™.

In this video, you will learn about their background, what makes scientific business analysts and data architects unique, and why having Sciborgs work directly with scientists brings so much value to customers.

Sciborgs, like Tal and Katja, are at the heart of Tetra Catalysts. They are an elite team of classically trained scientists with technology expertise and industry leading experience in:

  • Speeding time-to-value when deploying the Tetra Scientific Data Cloud
  • Identifying new opportunities to improve the use of your scientific data
  • Augmenting science by leveraging industry best practices

Watch the video to meet our Sciborgs.

For a detailed look at our Sciborgs, read our blog about how Sciborgs Drive Better Science.

scientific-it, science
sciborgs
Video
Making Scientific Data AI Ready
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2023-10-18

Too many biopharma organizations spend excessive resources manually transferring data among instruments and applications, or constructing rigid point-to-point data connections. They waste significant time curating and preparing data for advanced analytics and AI. 


Learn how the Tetra Scientific Data Cloud can help you harness the full value of your scientific data and improve scientific outcomes by accelerating the scientific data journey, enabling end-to-end scientific workflows, and capitalizing on the power of AI/ML. 

 

This video provides a walkthrough of the Tetra Scientific Data Cloud, highlighting how it enables organizations to:

  • Automatically collect and centralize data for easy data access
  • Contextualize data with rich metadata for immediate data retrieval
  • Standardize and harmonize data and metadata for comparison and visualization
  • Prepare data for advanced analytics and AI
scientific-it, science
integration, contextualization, harmonization, data-analytics
Video
How to Free Your Data from Isolation
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Videos
2023-07-25

Get a quick recap of our webinar exploring how dispersed scientific data can easily be accessed, enriched, and harmonized for analytics and AI/ML with the Tetra Scientific Data Cloud™.

Featured case studies include:

  • High-throughput screening
  • Collaboration with contract research organizations (CROs)
  • Batch release
  • Instrument utilization

Watch the entire webinar on demand.

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scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization
Video
IDBS E-WorkBook Integration with the Tetra Scientific Data and AI Cloud
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Videos
2023-10-27

Learn how the Tetra Scientific Data and AI Cloud streamlines data processing workflows, eliminating the tedious manual steps of transferring data from scientific instruments to electronic lab notebooks (ELNs). This demo video shows how teams can automatically transfer raw data from instruments to the Tetra Scientific Data Cloud; transform data into the standardized JSON-based Tetra Data format; and then easily initiate the automatic transfer of harmonized files to IDBS E-WorkBook using an integrated connector from TetraScience.

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integration, harmonization
Video
High-Throughput Screening with the Tetra Scientific Data and AI Cloud
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Videos
2023-10-30

Discover how the Tetra Scientific Data and AI Cloud can simplify data management for high-throughput screening (HTS). This demo video shows how the Tetra Scientific Data and AI Cloud eliminates manual data collection and transformation, as well as the time-consuming process of constructing point-to-point integrations. Using the example of liquid handler and plate reader files, the video shows how the Tetra Scientific Data and AI Cloud automatically:

  • Collects instrument files
  • Adds relevant contextual information
  • Harmonizes files into the vendor-agnostic Tetra Data format
  • Distributes files to an ELN

Organizations can then easily reuse Tetra Data in additional analytics, data visualization, and AI applications.

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scientific-it, science
integration, contextualization, harmonization
Video
Ensuring a safe (and compliant) ride for your data
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Videos
2023-06-20

While hot air balloons and regulatory compliance may seem worlds apart, this video explores how the preparation, testing, and validation required for ballooning provide a compelling metaphor for ensuring compliance.

Learn precisely how TetraScience uses a structured process for quality and compliance controls. This includes: 

  • A quality management system that determines if TetraScience can safely contain, hold, and manage data that is intended for GxP use downstream (ISO 9001)
  • A software development lifecycle that ensures our business operates both appropriately and ethically and enables us to build our cloud services in a standardized, repeatable way
  • A verification suite for function, unit, and downstream testing that ensures “fit for purpose” 
  • End-to-end use case testing where TetraScience runs data through simulations of field usage (GAMP 5
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integration, harmonization, quality-and-compliance
Video
Tetra Empower Agent v5.2: Increased performance, reliability, and scalability
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Videos
2023-11-28

Learn how the release of Empower Agent v5.2 by TetraScience improves agent performance, reliability, and scalability as you ingest data from the Waters Empower Chromatography Data System (CDS) into the Tetra Scientific Data Cloud™. New capabilities provide scientists with significantly faster access to data and reduce the likelihood of processing errors—even as organizations scale the volume of chromatography projects.


This video highlights key features and enhancements, including:

  • Horizontal scalability
  • Project prioritization
  • Maximum number of projects per scan
  • Agent connectivity monitoring
  • Ingestion of project and user access permission data

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integration
Video
Accelerate Scientific Workflows with Bidirectional Data Movement between ELN and CDS
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Videos
2023-10-04

Learn how the Tetra Scientific Data Cloud streamlines scientific workflows by automating the bidirectional movement of data between informatics systems and chromatography data systems.

This video shows how the TetraScience platform collects data from an electronic lab notebook (Revvity Signals), transforms that data into a standardized format, and writes a new sample set method, which can be used to run an experiment in a chromatography data system (Waters Empower). The platform then collects experiment results and harmonizes the scientific data so it can be easily integrated back into the ELN.

Learn more about Tetra Integrations and see a full list of current and upcoming releases.

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Video
Tetra Data Overview Video
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Videos
2023-03-15

Accelerating biotech and biopharma research, development, and manufacturing requires a purpose-engineered platform for ingesting and transforming data, making it Compliant, Harmonized, Liquid, and Actionable.

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Video
Andelyn - the Digital CDMO
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2023-04-17

Andelyn Biosciences is a biopharmaceutical CDMO, pioneering solutions that turn hope into reality™.

In this short video, Bryan Holmes, Vice President of Digital and Technology Solutions at Andelyn, discusses how despite advances in technology, many biopharmaceutical companies still rely on manual data processing.

See how Andelyn is solving this challenge by streaming data to the Tetra Scientific Data Cloud™. As a result, Andelyn can aggregate data faster, provide better insights, and accelerate development timelines and bring more treatments to more patients.

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Video
Accelerate Scientific Insights Through the Tetra Partner Network
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Videos
2023-06-06

Learn how the TetraScience partnership with PerkinElmer Informatics accelerates scientific insights for biopharmaceutical customers. This partnership connects the full PerkinElmer Informatics Signals Research™ Suite to the Tetra Scientific Data Cloud™, creating a single source for all laboratory information that benefits scientists and IT departments. By focusing on solving customer challenges, this partnership demonstrates how two leading companies work together to maximize scientific data for improved outcomes.

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Video
Benchling–Tetra Scientific Data and AI Cloud Integration
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Videos
2023-10-26

Discover how organizations can eliminate manual steps during data processing through integration of scientific instruments and applications with the Tetra Scientific Data and AI Cloud. This video shows how scientists can create an experiment in the Benchling electronic lab notebook (ELN), send information to instrument control software, start a run, and then automatically extract experimental data. The Tetra Scientific Data and AI Cloud harmonizes data and passes it back to the ELN. Team members can track data movement in real time within the Tetra Scientific Data and AI Cloud interface.

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integration, contextualization, harmonization
Video
Accelerating Batch Release with the Tetra Scientific Data and AI Cloud
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Videos
2023-10-26

Learn how the Tetra Scientific Data and AI Cloud uses automation to eliminate error-prone, inefficient manual transfer of information between instruments and informatics systems. Using a titration experiment workflow as an example, this video shows how the Tetra Scientific Data and AI Cloud automates transfer of sample information, weight data, and titration experiment results between Signals Notebook and both LabX and tiamo instrument software.

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scientific-it, science, quality-and-regulatory
integration
Video
Accelerate Upstream Bioprocessing with the Tetra Scientific Data and AI Cloud
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2023-11-06

Learn how the Tetra Scientific Data and AI Cloud can help streamline upstream bioprocessing by automating the collection, transformation, and publication of data. As this video explains, the Tetra Scientific Data and AI Cloud can reduce data management burdens and help ensure data integrity while also facilitating file searches and enabling the consumption of data in a variety of endpoints, including analytics and AI tools. The video shows how a real-time TIBCO Spotfire dashboard built on the Tetra Scientific Data and AI Cloud can help scientists visualize and analyze experimental results to generate new insights rapidly.

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Solution Brief
Quality Testing
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Solution Briefs
2024-10-08

In large enterprises, QC labs need to test and document the results for tens of thousands of samples per year. When deviations are identified and investigations follow, these efforts increase substantially.

Read this solution brief to learn how TetraScience can reduce the efforts of biopharmaceutical companies in QC data transfer, validation and compliance, report creation, control charts and trending, and deviations and investigations. TetraScience’s data-centric, science-driven approach can help achieve digital QC, accelerating time-to-clinic and time-to-patient, reducing batch inventory, improving revenue realization, and fulfilling patient needs earlier.

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integration, contextualization,
Solution Brief
Accelerate Bioprocess Development and Optimization with Data-Driven Insights and AI-Enabled Tools
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Solution Briefs
2024-09-19

One of the biggest challenges in bioprocess development is accurately predicting and identifying critical process parameters. Scientists often struggle to collect and analyze fragmented, siloed data. The resulting lack of actionable intelligence slows development timelines and limits organizations from making real-time, data-driven decisions. 

What's missing is a robust data foundation to fully support bioprocess development and optimization. To help you get started, we’ve compiled this playbook.

Inside, you'll learn:

  • Key industry challenges in optimizing bioprocessing
  • How predictive tools and dashboards can accelerate and improve scientific outcomes
  • Data-driven use cases in bioprocess development and optimization 
  • The necessity of scalable data engineering to enable advanced analytics and AI
integration, contextualization, harmonization, data-analytics, scientific-ai
ai-and-data-science
biologics-characterization, bioprocessing-purification, chromatography
Solution Brief
TetraScience Lakehouse Architecture
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Solution Briefs
2024-08-30

As scientific data grows in complexity and volume, deriving insights from it becomes increasingly challenging. TetraScience’s lakehouse architecture offers a transformative solution, seamlessly bridging the gap between data lakes and data warehouses. 

With this architecture, you can:

  • Efficiently query and transform scientific data, unlocking advanced analytics and Scientific AI.
  • Manage datasets for both data lake and data warehouse use cases with SQL and Delta tables.
  • Create datasets optimized for specific scientific use cases.
  • Share datasets across platforms like Databricks without incurring additional governance burdens or costs from data duplication.
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scientific-it
Solution Brief
ddPCR in gene therapy: Solving data workflow challenges
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Solution Briefs
2024-02-22

Droplet digital polymerase chain reaction (ddPCR) is increasingly being used in the development and manufacturing of gene therapies. The technique can measure the quantity and quality of gene therapy vectors as well as evaluate cells treated with the therapy.

In this solution brief, we explore the applications of ddPCR in gene therapy and the data challenges faced by scientists who routinely use the technique. We also show how the Tetra Scientific Data and AI Cloud™ streamlines and enhances ddPCR workflows, leading to faster and better scientific outcomes.

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Solution Brief
The Tetra Scientific Data and AI Cloud
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Solution Briefs
2023-12-21

Biopharmaceutical organizations that want to speed therapeutics development and reduce costs through Scientific AI must bridge the gap between their scientific raw data and value-generating AI applications.

The Tetra Scientific Data and AI Cloud offers the only path to closing that gap. It is the factory for producing large-scale, liquid, compliant Tetra Data, which is purpose engineered for science and AI. The platform enables organizations to fully harness their data for Scientific AI, accelerating and improving scientific outcomes.

Discover more in our solution brief.

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integration, contextualization, harmonization, data-analytics, scientific-ai, quality-and-compliance
Solution Brief
Untangling biopharma data: can you really do it yourself?
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Solution Briefs
2022-09-26

Building and maintaining your own scientific data management solution is fraught with hidden costs and risks. Eliminate challenges with a purpose-built data platform for biopharmaceutical science.

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Solution Brief
GxP for the Scientific Data and AI Cloud
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Solution Briefs
2024-01-26

TetraScience employs a comprehensive, 3 pillared approach to regulatory compliance—adhering to essential industry guidance and standards, including:

  • Good Manufacturing Practices (GMP)
  • Good Laboratory Practices (GLP)
  • Good Automated Manufacturing Practices (GAMP 5 2nd edition)
  • Food and Drug Administration (FDA) 21 CFR Part 11
  • FDA Computer Software Assurance (CSA) Guidance
  • EU Annex 11

Learn how TetraScience can accelerate your journey to quality and compliance by:

  • Reducing validation effort by 80%
  • Increasing ROI by 2-3x
  • Slashing deployment time by two-thirds
  • Simplifying change management

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Solution Brief
Tetra Scientific Data and AI Cloud - Tetra Catalysts
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Solution Briefs
2023-02-09

In order to help our customers maximize the value of the Tetra Scientific Data and AI Cloud™, TetraScience created an offering that combines a library of deployment-ready, Scientific AI use cases, supporting artifacts and deliverables, and best practices—all derived from our industry-leading expertise—to accelerate and improve scientific discovery, development, and manufacturing . Tetra Catalysts will help customers to improve lab productivity through data automation and Scientific AI, derive new insights and optimize and speed the deployment for specific scientific outcomes, based on best practices and industry trends.

Read this solution brief to understand how TetraScience’s combined expertise in science, data, and technology can minimize the burden of your teams while maximizing value of your data through Scientific AI as well as the ROI of your deployment.

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Solution Brief
Move life sciences beyond data management
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Solution Briefs
2022-09-26

Learn how Tetra Scientific Data and AI Cloud takes data management beyond traditional approaches by centralizing, enriching, harmonizing, and curating scientific data in a flexible cloud-native platform.

scientific-it, science, ai-and-data-science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Solution Brief
Accelerating high-throughput screening insights with the Tetra Scientific Data and AI Cloud
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Solution Briefs
2022-10-04

Biopharma organizations use high-throughput screening (HTS) to parallelize experiments to identify higher-quality drug discovery and development leads more quickly. 

HTS currently relies on manual, error-prone process to collect and transform scientific data into formats capable of being used within informatics applications or analytics, delaying downstream drug development.

In this solution brief, you will learn how the High-Throughput Screening Tetra Scientific Application brings cohesion to your HTS workflows by:

  • Increasing screening throughput through end-to-end automation
  • Eliminating error-prone, manual updates to inventory and registration systems
  • Harmonizing data across multiple formats to enable analytics and visualizations, such as SAR and in-silico evaluations
  • Providing a centralized historical record and scientific context to scientific data and results
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scientific-it, science
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White Paper
The 8 trends redefining scientific data management in biopharma
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White papers & eBooks
2024-07-11

The biopharmaceutical industry is undergoing a seismic shift in how scientific data is managed and analyzed. Emerging technologies like AI are driving the change, offering the potential to bring better therapies to market faster and at lower costs. To achieve these goals, organizations must fully leverage their scientific data. 

Yet, by and large, these datasets are trapped in silos and proprietary formats. Biopharma leaders need to embrace data-centric strategies and frameworks to unlock the full value of their scientific data. Otherwise, they risk failing to capitalize on Scientific AI and falling behind the competition.

In this white paper, you'll learn:

  • The inherent challenges of scientific data
  • Why traditional data management is no longer sufficient
  • 8 modern strategies to maximize data value
scientific-it, science, ai-and-data-science, quality-and-regulatory
integration, contextualization, harmonization
White Paper
Challenges and Future Directions in CMC
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White papers & eBooks
2024-04-10

Despite its immense value, scientific data in chemistry, manufacturing, and controls (CMC) remains largely untapped. As a result, biopharma companies are struggling to accelerate timelines and reduce costs during late-phase development. A group of industry experts explored the root causes and how best to address them. This white paper summarizes their key findings.

Inside, you'll learn:

  • The top 3 business challenges facing CMC and their underlying causes
  • Key areas for future development within CMC
  • The industry's readiness for electronic regulatory submissions
  • Opportunities for using AI in CMC and their potential impact
science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, scientific-ai, quality-and-compliance
White Paper
The Scientific AI gap
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White papers & eBooks
2023-12-18

Biopharma leaders today are poised to capitalize on the power of artificial intelligence (AI) to speed delivery of new therapeutics and drive down fast-rising costs. But for many biopharma companies, there is a gap between the vision for AI and the present reality. They struggle to launch AI initiatives or capitalize on previous efforts.

Why? The answer centers on data. The vast volumes of data that biopharma companies generate and collect are not ready for advanced analytics, AI, or machine learning applications. Moving forward will require a revolutionary scientific data paradigm.

In this white paper, you’ll learn:

  • The promise of Scientific AI in biopharma
  • 3 primary obstacles to Scientific AI
  • How to close the AI gap
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integration, contextualization, harmonization, data-analytics, scientific-ai
White Paper
The data tenets of Pharma 4.0
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White papers & eBooks
2023-09-12

In response to increasing demands on biopharmaceutical manufacturing facilities, many companies are looking toward “smart” factory, or Pharma 4.0, solutions. However, most biopharmas lack the data maturity to achieve smart factory capabilities.

The artificial intelligence (AI), advanced analytics, and enterprise interconnectivity that enable Pharma 4.0 principles cannot function without a data infrastructure that provides large-scale, liquid, purpose-engineered, and compliant data.

In this white paper, we review why data maturity is no longer an option for biopharmaceutical manufacturers and how the four data tenets of Pharma 4.0 enable data maturity, which enables manufacturing plant maturity. We then discuss precisely how mature data feeds into numerous smart factory use cases, including:

  • Optimized tech transfer
  • Collaborative data supersets
  • Advanced process controls
  • Continuous manufacturing
  • Continued process verification
  • Digital quality monitoring
  • Recursive data exchange
  • Real-time release testing
  • Agile manufacturing
  • Predictive maintenance

If you want to know how TetraScience can help you achieve data maturity, contact our team or request a demo today.

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White Paper
Manual no more: Automating the scientific lifecycle
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White papers & eBooks
2022-09-30

Leading biopharma organizations are reimagining research, development, and delivery of life-saving therapeutics through automated data acquisition, wrangling, and transformation.

This white paper — Paving the Way to Automated Data Acquisition and Transformation — describes how this world of data science automation has become a reality.

You will learn:

  • The benefits of findable, accessible, interoperable, reusable (FAIR) data in the cloud
  • The importance of multi-point productized integrations
  • The steps to automate the scientific data lifecycle

Why End-to-end Data Lifecycle Automation Is Critical

With an automated end-to-end data lifecycle, harmonized scientific data flows freely throughout the biopharma data pipeline to accelerate innovation and support quality. Decoupling instrument control from data publishing enables scaled-up data science automation.

We discuss these benefits in detail in our white paper:

  • With an automated and remote control interface to interact with instruments, organizations don't need to worry about collecting data with the heterogeneous and fragmented nature of lab data systems.
  • With automated data acquisition across different instruments and lab systems, scientists no longer have to manually locate, transfer, and clean the data.
  • With data pipelines for automated processing and interactive analysis, the data is automatically prepared, analyzed, and presented to the researcher, driving faster decision-making.

The Tetra Scientific Data and AI Cloud automates the collection and transformation of data in a format that is compliant, harmonized, liquid, and actionable. See what a modern-day end-to-end data pipeline looks like with TetraScience. Read our entire white paper now.

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eBook
Unlock the full potential of your scientific data
Download
White papers & eBooks
2022-12-21

Findable, Accessible, Interoperable, and Reusable (FAIR) data helps life science organizations to drive innovation. This process requires collecting, transforming, and standardizing scientific data to make it searchable, ready for analytics, and able to flow freely among instruments and applications.

This ebook — Unlock the Full Potential of Your Scientific Data — describes how harmonized scientific data in the cloud can help biopharma companies make the most of their data.

You'll learn:

  • The challenges of legacy data
  • The steps in the scientific data journey
  • The essential properties of Tetra Data

Download your copy today to gain a deeper understanding of how Tetra Data eliminates manual data processes and can help your organization gain insights to accelerate ground-breaking treatments.

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integration, contextualization, harmonization, data-analytics, scientific-ai, quality-and-compliance
Webinar
Unlock the power of your scientific data with Databricks and TetraScience
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2024-09-25

The biopharmaceutical industry is racing to harness advanced analytics and AI to improve drug discovery, development, manufacturing, and quality control. However, a significant barrier remains: the current state of scientific data. Despite the massive volume of available data—measured in exabytes—much of it is not yet accessible or optimized for advanced analytics and AI/ML applications. Bridging this "data utility gap" is essential for speeding up scientific breakthroughs and delivering life-changing therapies to patients more efficiently and cost-effectively.

Databricks and TetraScience have partnered to overcome these challenges, unlocking the full potential of scientific data. Together, we are revolutionizing the way scientific data is utilized, driving innovation across a growing number of Scientific AI use cases throughout the biopharmaceutical value chain.

Watch the on-demand webinar to explore:

  • How scientific data must be replatformed and engineered into large-scale, compliant datasets optimized for analytics and AI
  • The utilization of AI-native datasets across the pharmaceutical value chain, delivering novel insights and enabling data-driven decision-making

As a practical example, learn how Databricks and TetraScience enable the consolidation and comparison of data from chromatography data systems into a single, interactive dashboard. This empowers teams to assess performance variability, identify root causes, and track trends of this critical analytical technique in real time, leading to faster, more informed decisions across labs.

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integration, contextualization, harmonization, data-analytics
Webinar
The Power of Liquid Data in Biopharma CMC Workflows
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2024-09-26

The world’s most important data is biopharma’s scientific data. In this on-demand webinar, we deep dive into how to revolutionize CMC data workflows, scientific use cases, and biopharma and CxO collaboration. Gain insights into optimizing your data strategy to drive CMC efficiency and innovation.

Hear from a panel of CMC biopharma executives as they explore the path to harnessing the power of liquid data and its groundbreaking impact on furthering scientific outcomes.

science, quality-regulatory
integration, contextualization, harmonization, data-analytics
Webinar
How the cloud and AI are transforming pharmaceutical quality control
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Webinars
2024-05-15

A new paradigm that accelerates product releases with confidence

Today, quality control (QC) in biopharma faces several critical challenges. Due to outdated methodologies and disconnected systems, QC teams grapple with error-prone processes, data silos, and limited insight into quality trends. 

This webinar explores how a modern, cloud-based platform and laboratory information management system (LIMS) can transform QC to meet the demands of expedited product releases. We’ll discuss how purpose-engineered, large-scale, compliant, and liquid datasets enable automated workflows and analytics/AI-driven insights. Plus, we’ll show an intuitive interface that unifies quality assurance (QA) and QC to streamline critical quality processes. 

During this webinar, you'll learn how to:

  • Move from a legacy LIMS to an advanced, future-proof, and compliant LIMS in the cloud
  • Build a foundational data strategy for digital QC, enabling easier compliance and improved quality
  • Empower data-driven decision making through dashboards and AI
  • Accelerate batch release with improved right-first-time test execution
  • Reduce total cost of ownership while increasing decision speed and confidence using a holistic approach to quality 
Webinar
Making BioPharma AI-Ready
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Webinars
2023-12-08

Creating scientific data for analytical development

Heterogeneous data formats prohibit advanced analytics and AI

The pharmaceutical industry is experiencing a surge in scientific data due to the growing complexity of new therapeutic modalities and the urgency to bring improved therapeutics to market more efficiently. However, this valuable scientific data is often trapped in on-premise instrument control and acquisition software, compounded by the challenge of dealing with diverse vendor-specific data formats, thus inhibiting the potential of AI.

Is engineered scientific data the force multiplier for AI?

In this webinar, we will explore a use case involving a leading pharmaceutical company that aims to provide its scientists and engineers with analytics and AI-ready data across multiple laboratories, departments, and facilities.

By making this data available, scientists can leverage prior work to inform their actions and improve scientific outcomes. Moreover, they can identify and accelerate the most promising scientific strategies , leading to substantial time and cost savings.

This webinar will address several crucial aspects of maximizing the value of scientific data in the biopharmaceutical industry, including:

  • Centralizing and harmonizing scientific data
  • Improving collaboration and data sharing
  • Leveraging Semantic AI in biopharma
  • Managing diverse taxonomies efficiently
  • Automating data preparation and engineering

Don’t miss this opportunity to discover how your organization can maximize the value of your data and accelerate scientific advancements through AI.

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integration, contextualization, harmonization, data-analytics, scientific-ai
Webinar
The Role of Digital CDMOs in Biopharma
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2022-11-23

Watch this webinar with Andelyn Biosciences, a full-spectrum CDMO, to learn about their critical initiative of a Connected Plant that will enable biopharma to replatform their scientific data and workflows to the cloud. This innovative connected approach represents a generational movement transforming the way therapeutics are developed, validated, and brought to market.


scientific-it, quality-and-regulatory
integration, harmonization, quality-and-compliance
Webinar
Unlock Insights from Experimental Data and Empower Data Science
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2023-06-06

The Waters Empower Data Science Link (EDSL), powered by TetraScience, enables scientists and engineers to do more with their valuable experimental data. From enabling chromatography fleet management to deducing new trends across experiments or injections - making lab data FAIR and usable accelerates the move to a digital lab.

This presentation will cover how the data science link helps support Allotrope’s mission (universal formats, interoperability, simplified IT and system integration) and promotes improved data science while using existing resources. This session will focus on:

  • High-throughput, automatic acquisition and conversion of data into a vendor-agnostic and data science-compatible format in the cloud, (which can be easily converted to the Allotrope Data Format (ADF) through third-party tools)
  • How bidirectional communication between chromatography instrumentation, software, and tools enables sample set method creation, eliminates manual transcription, and increases data integrity
  • Easy query of converted data based on sample ID, method name, and other fields using common data science tools
  • TetraScience’s membership in the Allotrope Partner Network and how it informs analytics on chromatography data system (CDS) data
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integration, harmonization, data-analytics, quality-and-compliance
Webinar
The connected lab: maximizing the intersection of science and data
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2023-06-07

Scientific data is the most valuable asset of a biopharmaceutical company. Yet, there are still many roadblocks and misunderstandings of how best to realize the scientific and business potential of data. By using modern cloud platforms combined with the right strategy, a connected lab is achievable today and can serve as the foundation for advanced analytics, AI and ML.

Speakers

Kim Forte, Principal | Life Sciences, Deloitte

Mike Loos, Vice President Solutions Architecture, TetraScience

Anil Verma, Life Sciences GTM Leader, Amazon Web Services (AWS)

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Webinar
Taking Waters Empower to New Heights with the Tetra Scientific Data Cloud
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2023-10-27

Learn how the Tetra Scientific Data and AI Cloud augments the capabilities of the Waters Empower chromatography data system (CDS)—as well as other scientific instruments and applications. This webinar video explains how the Tetra Scientific Data and AI Cloud can:

  • Automatically collect data from Empower
  • Contextualize data
  • Harmonize data into vendor-agnostic, AI-ready Tetra Data
  • Verify data quality and enrich data
  • Simplify searches for particular files and enable exploration of SQL tables
  • Allow users to analyze data with tools such as TIBCO Spotfire
  • Publish data to other data science, visualization, and AI applications

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Webinar
Scalable data strategies for scientific AI-enabled breakthroughs
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2023-11-06

Artificial Intelligence (AI) has the potential to transform the biopharmaceutical value chain. However, its utility across the enterprise is hampered not by the science but by the data – its quality, quantity, and accessibility. As the volume and complexity of scientific data surge, and with the arrival of generative AI and large language models (LLMs), it has become even more challenging to reduce the gap between raw scientific data and AI-enabled outcomes that are accurate, reliable, and unbiased.

In this webinar, we’ll show how a cloud-native platform, purpose-built for science, and powered by AWS, creates large-scale, liquid data sets that can fuel generative AI models. Migrating raw scientific data to the cloud is insufficient for the meaningful utilization of AI. Only by replatforming and engineering data at scale are biopharma organizations able to deploy accurate LLMs that can radically accelerate and improve scientific outcomes. We’ll also share real-world use cases where generative AI has created novel breakthroughs.

IN THIS WEBINAR YOU’LL LEARN HOW TO:

  • Assess the generative AI readiness of your data architecture
  • Replatform and engineer scientific data in the cloud using a centralized or federated strategy
  • Enable rapid consumption of engineered scientific data while optimizing cloud performance, scale, and cost
  • Securely develop and deploy generative AI models to derive scientific insights across multiple use cases such as integrated omics, protein binding, and formulations
  • Utilize large datasets with LLMs for predictive analyses in toxicology, and in silico ADMET
  • Ensure privacy, security, and transparency through generative AI services
Webinar
Tetra in Action: Optimizing High-Throughput Screening Data Workflows
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Webinars
2023-06-02

High-throughput screening (HTS) offers the promise of identifying higher-quality leads faster and bringing ground-breaking drugs to the market. Unfortunately, the HTS processes at many companies rely on manual, error-prone processes to collect data sets, add critical metadata, and transform data to be usable by informatics applications and analytics.

You will learn:

  • How scientific data challenges reduce the effectiveness of high-throughput screening workflows
  • Ways the Tetra Scientific Data and AI Cloud™ automates processes, improves quality, and enables insights
  • High-throughput screening scientific data best practices

This webinar features a product demo where you can see first hand how the Tetra Scientific Data and AI Cloud can help your organization with its HTS workflows.

high-throughput-screening
scientific-it, science
integration, contextualization, harmonization
Webinar
Liquid Chromatography Meets Liquid Data
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Webinars
2023-12-08

Hear how the Tetra Scientific Data and AI Cloud can help organizations derive more value from their chromatography data. This webinar video shows how organizations can use the Tetra Scientific Data and AI Cloud to help create a system suitability dashboard with TIBCO Spotfire to identify instrument issues and avoid misleading experimental results. It also shows how the Tetra Scientific Data and AI Cloud can simplify the search and analysis of data generated by chromatography data system (CDS) instruments, such as Waters Empower.

chromatography
scientific-it, science
integration, contextualization, harmonization, data-analytics
Webinar
Lab utilization: How to optimize resources with harmonized scientific data
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Webinars
2023-10-27

TetraScience is joined by Clustermarket and WattIQ for a webinar discussing how to optimize resources with harmonized scientific data in your lab


asset-utilization
scientific-it, science, ai-and-data-science
integration, contextualization, harmonization, data-analytics
Webinar
How to transform scientific data workflows with Sciborgs
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Webinars
2023-06-30

Learn how Sciborgs identify the most painful processes for scientists and design solutions with the Tetra Scientific Data and AI Cloud™. Watch this webinar to learn how Sciborgs:

  • Support you in the identification of suitable use cases to uncover new, high-impact insights
  • Help you achieve faster, better implementation of scientific data solutions that enable all stakeholders (scientists, data scientists, data engineers, IT staff)​​​​​​​
  • Guide you through replatforming to replatform scientific data to the cloud and leverage it for improved scientific outcomes
Webinar
How to Free Your Data From Isolation: Learn Why Biopharma Leaders are Investing in the Cloud
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Webinars
2023-05-02

Our speakers explore how science-based organizations are producing more data than ever before, and why digital transformation strategies to leverage this data, like AI and machine learning, require the right infrastructure of connected, searchable, and harmonized data.

The presentation features real-world case studies in high-throughput screening (HTS), contract research organization (CRO) data management, batch release and testing, as well as the digitalization of a contract development and manufacturing organization (CDMO).

asset-utilization, cxo-collaboration, high-throughput-screening, qc-for-small-molecules
scientific-it, science, quality-and-regulatory
integration, harmonization, quality-and-compliance
Webinar
Cloud-confident GxP: Align with GAMP5 (v.2), Think Differently, Achieve Better Results
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Webinars
2023-06-06

Security and safety underlie cloud compliance. With the recent release of ISPE’s GAMP5 (v.2), biopharma companies are moving ever more towards continuous verification and risk-based approaches. If you manage your lab’s data integrity and traceability, tune in to learn best practices for GxP data automation, including how to:

  • Build critical thinking from the GAMP5 (v.2) foundation
  • Automate risk monitoring
  • Collect FAIR data for governance in specific workflows
  • Incorporate new modalities easily
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, quality-and-compliance
Webinar
Connecting Science: How an open, collaborative network of life-science vendors is transforming biopharma
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Webinars
2023-06-05

Collaboration is commonly the basis for scientific innovation. Collaboration between life science vendors is less common.

The success of the biopharmaceutical industry depends upon leveraging scientific knowledge derived from the best instrumentation and software available, which produce a multitude of disconnected data formats.  Biopharma customers are now demanding that the vendor industry work collaboratively to connect their scientific workflows.

This webinar will provide valuable insights for biopharmaceutical scientists, lab directors, IT professionals, and life science vendors who want to learn:

  • How an open network of life-science vendors accelerates scientific outcomes
  • Before and after impact on scientific workflows, such as protein purification and cell profiling by flow cytometry
  • The cloud and data engineering technologies that enable data liquidity independent of instrument modality
  • How life science vendors are replatforming, moving from a closed to open ecosystem model focused on maximizing the value of scientific data
flow-cytometry, high-throughput-screening
scientific-it, science
integration, contextualization, harmonization, data-analytics
Webinar
Calibrating Your Scientific Data Strategy Applying FAIR Principles in the Cloud
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Webinars
2023-06-05

A new research survey of 500 biopharma executives, commissioned by TetraScience and AWS, reveals why life sciences companies need to rethink their data platforms. Replatforming scientific data to an open cloud platform while transforming the data to FAIR (Findable, Accessible, Interoperable, Reusable) principles significantly impacts three key industry drivers:

  • Speed: Learning from experiments faster, reducing time to market for final molecules.
  • Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI).
  • Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

‍The speakers will also share insights and updates from the Bio-IT World Conference. Whether you’re just getting started or are developing the next phases of your replatforming strategy, this webinar will provide you with essential information and key insights.

Learning Objectives:

  • Competitive advantages to developing a scientific data cloud strategy
  • Best approaches to getting started with replatformed scientific data in the cloud
  • Long-term advantages, including moving into ML, AI, and advanced analytics
scientific-it, science, ai-and-data-science
integration, contextualization, harmonization, data-analytics, scientific-ai, sciborgs
Webinar
A New Paradigm in Bioprocessing Intelligence to Accelerate Time to Market
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Webinars
2023-11-07

Capitalizing on the power of AI for biopharma requires a new approach to data. In this webinar presented by TetraScience and Körber, hear how your company can collect scientific data from all sources across the product life cycle and then transform it into AI-ready data. And you’ll hear how a top 25 global biopharma company is leveraging scientific data in the Tetra Scientific Data and AI Cloud to gain real-time process intelligence to understand sources of variability.  

You’ll also learn how to:

  • Generate new insights by visualizing and analyzing data across multiple teams
  • Employ advanced analytics to define a scientifically sound chemistry manufacturing and controls (CMC) strategy
  • Find the root causes of process deviations by implementing process design and modeling best practices
  • Automatically generate reports to facilitate new drug application (NDA) or biologics license application (BLA) filing, good manufacturing practices (GMP), and continued process verification (CPV)

For a few highlights from the webinar, read this Q&A blog post with industry experts and webinar participants Prof. Dr. Christoph Herwig, senior scientific advisor, Körber Business Area Pharma, and Ken Fountain, vice president, scientific applications, at TetraScience.

bioprocessing-purification
scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Webinar
Biopharma smart factories: Achieving next-generation performance
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Webinars
2023-06-05

Within the extreme complexity of biopharmaceutical manufacturing and quality, it might appear that there are many paths to produce next-generation performance. However, without first getting grounded in identifying the value of a solution to solve business problems, enormous amounts of time and money can be wasted with little impact. In this webinar, TetraScience and Deloitte share the four levers that make theSmart Factory a reality and how to master them using a digital maturity model.

 

You'll learn about the four levers and how to leverage data to produce the right analytical outputs in each:

  • Human Performance - reducing errors
  • Process Performance – increasing yield
  • Asset Performance – maximizing uptime
  • Network Performance – optimization outcomes

How to calibrate your current state using a digital maturity model

How to create a foundation that supports unrestricted digital innovation

How to maximize the value of your scientific data and analytics for competitive advantage

qc-for-biologics, qc-for-small-molecules
scientific-it, science, ai-and-data-science, quality-and-regulatory
integration, harmonization, data-analytics, scientific-ai, quality-and-compliance
Webinar
3 Keys to Creating Connected Digital Labs that Scale
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Webinars
2023-06-05

Are data silos, reduced scientific agility and hindered collaboration keeping companies from accelerating development and delivery of new therapeutics?

While R&D organizations increase their investments in generating and managing data to fuel new drug development, the systems and processes they’ve inherited or implemented often impair critical innovations. Can organizations do more by enabling digital labs?

In this webinar, attendees will hear from AWS and TetraScience how life sciences organizations can break down data silos and do more with less by making management of scientific data easier, less costly and less labor-intensive.

View this webinar to learn about creating connected digital labs and managing scientific data towards therapeutic development.

scientific-it, science, quality-and-regulatory
integration, contextualization, harmonization, quality-and-compliance
Infographic
Transforming Quality Testing
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Infographics
2024-10-09

Quality testing of drug substances and products is time-consuming and often considered a bottleneck. Decisions for a single batch typically take 40 hours, and non-compliance can be costly.

View this infographic to identify the key areas for improvement through a data-driven approach and discover the tangible outcomes biopharmaceutical companies can realize by leveraging TetraScience.

qc-for-biologics, qc-for-small-molecules
science, quality-and-regulatory
integration, contextualization, harmonization, data-analytics, quality-and-compliance
Infographic
Data and AI in Bioprocess Development: Trends and Prospects
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Infographics
2024-09-19

Discover how leading pharmaceutical companies are transforming bioprocess development by leveraging scientific data and AI. Our infographic highlights key trends and strategies to keep you ahead of the curve.

What’s inside:

  • Improve process efficiency: Proven techniques to streamline workflows and shorten development timelines.
  • Unlock data’s full potential: Strategies to turn raw data into actionable insights for faster, smarter decisions.
  • Enhance product quality: Innovative methods to maximize quality while scaling up production.
biologics-characterization, bioprocessing-purification, chromatography
ai-and-data-science
integration, contextualization, harmonization, data-analytics, scientific-ai
Infographic
Scientific AI trends in biopharma
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Infographics
2023-12-21

The biopharmaceutical industry stands at a crossroads. R&D costs are rising. Sales are falling. And the process from discovery to commercialization remains long and complicated. Many biopharma leaders believe artificial intelligence (AI) will reverse these trends, potentially revolutionizing the entire value chain. They’re placing big bets on AI through investments in technology, people, and partnerships.

Explore the latest trends in Scientific AI by the numbers.

science, ai-and-data-science
scientific-ai
Infographic
Why biopharma is prioritizing data to build better medicines
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Infographics
2023-03-01

Co-sponsored by:

AWS Logo

We spoke with 500 biopharma executives to discover how industry leaders plan to deliver better therapeutics to patients faster. Their answer was clear. Maximize the value of scientific data with cloud-enabled FAIR data to improve three key industry drivers.

  • Speed: Learning from experiments faster, reducing time-to-market for final molecules
  • Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI)
  • Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

Explore our key findings by downloading this infographic or see the full research report.

scientific-it, science, ai-and-data-science
Infographic
Top 10 benefits of Tetra Catalysts
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Infographics
2023-06-30

Digital transformation only matters if it delivers results. It takes the right combination of technology and know-how. Enter Tetra Catalysts. Learn how this end-to-end, "cloud and Sciborg" solution benefits biopharma throughout the entire value chain.

Read the solution brief for a deeper dive.

scientific-it, science, ai-and-data-science, quality-and-regulatory
sciborgs
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We are glad to have TetraScience as our partner for large-scale onboarding of new lab data sources. We are looking forward to an ongoing collaboration with TetraScience as we make progress on the AI journey.

Dmitriy Ryaboy
VP of AI Enablement

TetraScience is the core platform for our scientific data and a real differentiator and accelerator to our business.

Bryan Holmes
Vice President Digital & Technical Solutions