Why just store your data? Leverage it today and future-proof it for Scientific AI

The radical paradigm shift from scientific data management and analysis is here.

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We value our customers and future customers. Get a discount on registrations and visit with us at the A traditional scientific data management system (SDMS) merely stores your data, keeping it stagnant and locked up in just another data silo. This impedes its use for predictive analytics and AI. Pharmaceutical companies are realizing they have mishandled this goldmine of data, which holds the key to improving and accelerating scientific outcomes.

For Data & AI Leaders

Find the path to large-scale, AI-ready scientific datasets centralized in the cloud

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For Scientists

Accelerate scientific data research and development with validated, automated integrations and workflows. 

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Scientists

Accelerate scientific data research and development with validated, automated integrations and workflows. 

Access knowledge kit

Don’t leave your scientific data at a dead end

A middleware approach blocks the scientific data journey and prevents you from unlocking the inherent value of your data. Instead, adopt a data-centric strategy to build the foundation for Scientific AI while getting lab connectivity and automation.

Tap into the largest library of integrations

TetraScience hosts the world’s largest, fastest-growing, purpose-built library of industrialized integrations and data schemas. It covers 100% of the highest-priority instruments in top biopharma organizations.

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Scale fast with dynamic and flexible connectivity

The Tetra Scientific Data and AI Cloud™ features the Pluggable Connector Framework. It boosts the speed and efficiency of introducing and updating connectors, bringing agility to lab connectivity and automation.

Free your scientific data from silos

See how the Tetra Scientific Data and AI Cloud automatically assembles, contextualizes, and harmonizes data, while providing essential functionality for data management.

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Focus on scientific outcomes

Move beyond the traditional SDMS mindset that focuses on individual integrations. Take a holistic approach with end-to-end data workflows that encompass collection, contextualization, and harmonization—all aimed at driving scientific outcomes.

Seamlessly access your data for analytics and AI

Extract a wealth of new insights from your data, and say goodbye to time-consuming manual data preparation. Construct dashboards and perform advanced analytics with tools of your choice.

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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.

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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