Reimagine Scientific Data Management in the AI Era

Explore resources to learn how to transform your scientific data, scale lab data automation, and drive analytics and AI.

The scientific data utility gap: Why IT needs a new approach

Scientific IT is at a crossroads. Learn how data replatforming and engineering close the utility gap and power smarter, faster decision-making in biopharma.

Genius of “And” – You can get both

The Tetra Lead Clone Selection Assistant combines the Tetra Scientific Data and AI Cloud™ with advanced AI models like NVIDIA’s VISTA-2D and Geneformer. This approach reduces lead clone selection timelines from months to weeks while improving stability and productivity.

The world’s largest, fastest-growing, purpose-built library

Begin your scientific data journey with the world's largest library of integrations, connecting instruments, software, and legacy SDMS at unprecedented scale.

Unlocking the value of big data for biologics discovery and development

Learn how this customer optimized data flows by automating CRO data transport, standardization, and storage, as well as .CZI image processing and HTS workflow streamlining.

File-based scientific data and the Tetra File-Log Agent

Learn how the Tetra File-Log Agent streamlines scientific data workflows with automated uploads, contextualization, and efficient file management.

The 8 trends redefining scientific data management in biopharma

For many biopharma companies, there is a gap between the vision for AI and the present reality. They struggle to launch AI initiatives or capitalize on previous efforts. Why? The answer centers on data. In this white paper, you’ll learn the 3 primary obstacles to Scientific AI and how to close the AI gap.

Get to digital maturity now

Enterprise biopharmas are turning to next-generation scientific data management. With the Tetra Scientific Data and AI Cloud, you can:

Centralize all scientific data—from instruments, software, and legacy SDMS

Automate and integrate workflows for seamless, enterprise-wide data flow

Balance IT governance with scientific flexibility through self-service tools

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