Reimagine Scientific Data Management in the AI Era
Explore resources to learn how to transform your scientific data, enable lab data automation, and drive analytics and AI.
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.
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.
Genius of “And” – You can get both
With the rise of applying data analytics and AI to achieve step-function changes in the biopharma industry, you need to solve immediate connectivity needs and build a foundation for analytics/AI. Only a data-centric approach that is the basis of a solution like the Tetra Scientific Data and AI Cloud can fulfill these requirements.
1PB from 1000+ data sources in 1 year. Break down scientific data silos.
Begin your scientific data journey with the world's largest library of integrations, connecting instruments, software, and legacy SDMS at unprecedented scale. Manage petabytes of data without sacrificing performance. Transform centralized data through our unique schemas and ontologies into truly analytics-ready and AI-native datasets, with complete data lineage.
Introducing Tetra Workflows: Automate, Orchestrate, and Elevate Your Scientific Data
Tetra Workflows is a future-ready solution for scientific data workflow automation. It connects your entire lab ecosystem, accelerating and improving scientific outcomes while ensuring data quality, traceability, and compliance.
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