Benefits for Data and AI Leaders

Supercharge Scientific AI

Meeting your organization’s need for impactful Scientific AI models is impossible in the absence of large-scale, liquid, and well-engineered datasets.

Automate the transformation of your data and accelerate data-driven insights to fuel AI breakthroughs.

Lay the foundation for Scientific AI

Optimize your data strategy for scientific outcomes with the industry's only purpose-built solution

Enable a future-proof ecosystem that leverages scientific data for AI across the value chain

Build a scalable and compliant architecture to automatically transform raw scientific data into AI-native data

Enable AI-driven scientific outcomes

Identify and onboard scientific use cases with the highest impact using AI

Adopt industry best practices for your scientific data architecture to mitigate risks and accelerate success of AI

Boost data workflow efficiency by orders of magnitude in R&D, QA/QC, and manufacturing

Clear the path to AI readiness

Streamline data collection and engineering with robust, productized integrations and data pipelines

Enable your data for Scientific AI with actionable content and demonstrate tangible value

Assemble large-scale, liquid, engineered, and compliant datasets to feed AI models and drive strategic decision making

Explore resources

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

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