Why scientific IT leaders choose
TetraScience
The problem we're solving
Your scientists work across thousands of instruments, apps, and data sources generating proprietary file formats. Legacy SDMS holds decades of data no one can find. Every "where is my data" ticket costs you 2-3 hours.
Meanwhile, leadership wants AI-ready data. But you can't deliver AI when you're still fighting just to connect instruments.
TetraScience built the Tetra OS, the operating system for scientific intelligence, to replace fragmented infrastructure with a unified architecture that turns data into reusable memory, workflows into productized assets, and AI into grounded scientific reasoning.
TetraScience solves the architectural problem so you can stop firefighting and start enabling science.
Rapid Instrument Onboarding:
From Months to Days
See how TetraScience's pre-built connector library lets IT teams deploy integrations for hundreds of instruments in weeks instead of months — no custom development required. This technical walkthrough shows the deployment process, validation workflows, and how self-service configuration reduces IT bottlenecks while maintaining compliance and data lineage.
How Tetra OS works
Scientific Data Foundry — Converts proprietary, unstructured scientific data into AI-native schemas, taxonomies, and ontologies, creating governed, reusable scientific memory.
Scientific Use Case Factory — Productizes AI-enabled workflows into validated, reusable assets that can be deployed across teams, sites, and domains.
Tetra AI — Serves as the reasoning and orchestration layer, helping scientists navigate complex workflows, surface relevant context, and accelerate decisions.
Tetra Sciborgs — Embedded scientist-engineers who connect science, data, and IT to operationalize adoption and deliver measurable outcomes.
Universal scientific data management
Connect any Source
Move siloed scientific data from instruments, software, and legacy SDMS with the world’s largest library of integrations and liberate your data silos.
Centralize Data
Bring together all your PBs of data to an enterprise-scale platform, purpose-built for science for easy access anywhere, any time.
Contextualize Data
Automatically add relevant metadata from any ELN/LIMS for easy search and retrieval.
Lab data automation at scale
Manage Data
Capture, catalog and archive data with metadata, creating a centralized data repository. Complete data lineage for regulatory compliance built in, not bolted on.
Control Data
Set granular access permissions, restore and reuse data with complete audit trails. Scientists self-serve without IT intervention for every request.
Automate Lab Workflows
Move data and results to and from any ELN, LIMS, or LES with a library of productized lab data automation workflows, including bidirectional integrations. Eliminate manual transcription.
Gain visibility and control with
Operational Intelligence
Health Monitoring
Monitor the health of connectors, agents, pipelines, and data services supporting SDMS and workflow automation.
Classify components as healthy, unhealthy, or critical to prioritize issues and guide proactive intervention.
Detect failures, delays, and degraded performance early to reduce downtime and downstream impact on scientists.
Operational Insights
Create evidence of platform value by mapping scientific data flows, including file volumes, pipeline activity, and asset inventory.
Quantify instrument counts and user adoption trends across labs, projects, and regions to prove progress and guide expansion decisions.
Support cost governance and capacity planning with visibility into instrument utilization, storage, and compute drivers to optimize spend.
Alert Management
Proactively alert IT teams to operational issues and threshold breaches in real time.
Reduce time to detection and resolution for disruptions.
Minimize downstream impact on scientific teams.
Next-level data engineering
Convert data from incompatible, proprietary formats into an open, vendor-agnostic format using the Tetra Data Schema library
Apply taxonomies and ontologies to capture relationships and hierarchies based on scientific use cases such as bioprocess development and quality testing
Create analytics- and AI-ready data in delta tables shareable with your Databricks, Snowflake or enterprise data lake
Maintain full data lineage
Track Data Provenance
Maintain full data lineage from capture to archival with complete chain of custody for compliance
Archive with Confidence
Store, archive and retrieve data with preserved audit trails using visual interfaces that reveal the complete data journey from storage to ELN/LIMS and back to the original source
Trace any Data Alterations
Track all data changes with human-in-the-loop audit trails and sign-off events as required
A future-proofed platform, built by IT
for IT
Scale by deploying connectors and pipelines using pre-built recipes and tools that IT can implement without vendor assistance
Extend platform capabilities by building custom applications or integrating existing dashboards tailored to specific business needs
Support regulated workflows with comprehensive IQ/OQ documentation, audit trails, and electronic signatures for GxP environments
