Scientific Data Engineering | TetraScience

Unvarnished perspectives from our CEO

Read first principles insights on Scientific AI, and how we're reimagining and replatforming science for the era of AI.

Scientists can now go from "I have an idea" to "I have a running app" in under an hour. See a live build at our August 13 Showcase.

Science runs on fragmented data. It shouldn't. Get the Tetra OS solution brief.

New Review by Exception Capabilities: Boost quality operations through smarter, exception-driven review workflows .

Transform raw, scientific data into Tetra Data

Streamline data preparation for analytics and AI and automatically convert your scientific raw data into Tetra Data. Benefit from our deep, long-term expertise in scientific data and best practices in purpose-engineering data for science.

The Rise of Sciborgs: Transforming How Science Gets Done

Introducing our new series: Sciborg ™ Sessions. See how Sciborgs are fundamentally changing how science gets done.

Tune in live on LinkedIn:

February 27th | 11am ET

What defines Tetra Data?

Tetra Data is the essential, atomic building block for capitalizing on the power of analytics and AI for science.

Compliant

Ensure data integrity and traceability of your datasets. Get audit trails and versioning for full compliance with 21 CFR Part 11 and GxP regulations and guidelines.

Liquid

Transform static, inaccessible, and siloed data into liquid data. Enable your data to flow seamlessly across instruments, applications, departments, and organizations.

Purpose-engineered

Break free from proprietary data formats. Harmonize data with Tetra Data—an open, vendor-agnostic, and AI-ready format complete with robust scientific taxonomies and rich ontologies.

Large-scale

Bring siloed data together into the large-scale datasets needed for meaningful AI-driven insights.

Build on a scientific lakehouse architecture

Natively support AWS Athena, Redshift, and Snowflake. Leverage the Delta Lakehouse architecture, which provides a foundation for Databricks and other data analytics and processing solutions of your choice. Support multi-modal data consumption ranging from data discovery and analytics to high-performance computing and AI-model training.

Designed for enterprises

Consistent data governance for both raw and engineered data

Combine the capabilities of a data lake, a data warehouse, and more through a data lakehouse architecture that can handle raw, complex, semi-structured, and unstructured data assets. Benefit from a holistic solution to enforce consistent data governance.

No data duplication and federated data access

Avoid data redundancy and enable seamless data access across multiple domains within an enterprise. Use your existing enterprise data platform and warehouse and incorporate the Tetra Scientific Data and AI Platform seamlessly without data duplication or tedious ETL.

Explore resources

Find the latest Tetra Data models

We are continuously adding and updating data models. See a list of current data models and upcoming releases.

Optimize resources with harmonized data

Discover how you can improve utilization of lab resources by harmonizing scientific data with the Tetra Scientific Data and AI Platform.

Speed time to insight

Read how a global biopharma eliminated the time-consuming work of cleansing data received from multiple contract research organizations (CROs) by automatically harmonizing data with the Tetra Scientific Data and AI Platform.

Make your scientific data work for AI.

Tetra OS turns scattered instrument and lab data into a foundation AI can actually use.

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

Linus Goerlitz Regulatory Science Transformation Lead

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

Sean Baumann VP - Digital and AI, Life Sciences, Diagnostics and Applied

Niamh O'Rahilly-Drew AVP Quality

Claudio Battilocchio Digital Automation Lead R&D