Get access to better data

Simplify data workflows in drug development with integrated, outcomes-driven processes

Power high-ROI use cases with a scalable data and AI cloud, driven by Tetra Catalysts

Optimize drug safety, efficacy, and stability with predictive modeling

Maximize lab productivity

Focus on outcomes by freeing over 50% of scientists' time from manual data processes

Never again repeat experiments because of inaccessible, corrupted, or lost data

Reduce operational costs and bottlenecks in the lab by optimizing asset utilization

Optimize outcomes

Cut wet lab experiments by 50% by leveraging large-scale, purpose-engineered data for Scientific AI

Generate reports and dossiers 20% faster with higher accuracy through automated data workflows

Streamline tech transfer internally and externally (with CDMOs) by enhancing data liquidity and traceability

Explore resources

Learn how to transform your scientific data into AI-based outcomes.

Case study

Accelerating ADME/Tox testing with data science and AI

White paper

Challenges and Future Directions in Chemistry, Manufacturing, and Controls (CMC)

Case study

Improving CMC with analytics-ready chromatography data

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

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

Our collaboration with TetraScience strengthens how we help customers automate data management at scale in the laboratory.

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

Our collaboration with TetraScience enhances the precision and speed of our quality control processes. By automating manual steps, we're empowering our scientists to focus on innovation that brings essential medicines to women faster and more safely.

Niamh O'Rahilly-Drew
AVP Quality

The capabilities provided by TetraScience enable us to standardize and harmonize data at scale... accelerating the speed and quality of scientific discovery.

Claudio Battilocchio
Digital Automation Lead R&D