Benefits for Data and AI Leaders

1PB from 1000+ instruments in 1 year. Enable Scientific AI.

Get to AI-readiness now

Begin your scientific AI 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.

Turn months of data preparation into minutes. Easily build robust AI models to gain actionable insights faster.

100s

of connected instruments in weeks

20k

admin hours saved annually

200

pipelines automated

The Scientific AI 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.

Get Started
with a Sciborg session

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 siloes.

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

Explore resources

Learn how to digitize science by transforming your scientific data.

Ready to start your AI data journey?

Find out what you need to embark on your AI journey and how to reach your goals faster.

Talk to an expert

By transforming how our scientists access, analyze, and share research data, we're unlocking new levels of productivity and enabling AI-powered insights through a connected, online data environment. Beyond boosting productivity, we're leveraging data and agentic AI to accelerate innovation across our drug discovery engine.

Jim Villa
Global Head of Research Strategy & Operations

Our expanded partnership with TetraScience is delivering measurable value through unified access to instrument and CRO data that powers our automation and analytics at scale. The platform's audit capabilities have streamlined our regulatory preparation processes.

Linus Goerlitz
Regulatory Science Transformation Lead

Embedding AI and digital technologies across the R&D value chain is one of Takeda’s core strategic areas for our future. Our data-driven R&D approach will reduce discovery timelines, enable the identification of targets faster, and help us design better therapeutic candidates.

Nicole Glazer
Head of R&D Data, Digital and Technology