1PB from 1000+ data sources in 1 year. Break down scientific data silos.
Get to Digital Maturity Now
Begin your scientific data journey with the world's largest library of integrations, connecting instruments, software, and legacy SDMS at unprecedented scale.
Our enterprise platform manages petabytes of data without sacrificing performance, while automatically adding context that makes information findable and useful.
Transform this centralized data through our unique schemas and ontologies into truly analytics-ready and AI-native datasets, with complete data lineage.
Scientists can extract value from data while IT maintains control and compliance - turning months of data preparation into minutes to gain actionable insight.
The Scientific Data Journey with TetraScience
Build use case-centric AI models with AI-ready data.
Build use case-centric analytics dashboards with analytics-ready data.
Harmonize, schematize, and organize your data. Enable analytics and AI.
Store, find, and use your data. Enable data management and workflow automation.
Next-generation 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. Easily search, retrieve and rely on complete data lineage.
Control Data
Set granular access permissions, restore and reuse data with complete audit trails. Enable data reuse beyond primary applications.
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.
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
Identify any changes of your data 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
