Therapeutics development is complex, long, and costly. Disconnected processes and siloed data across the organization and CDMOs inhibits collaboration and informed decision making. Streamline and accelerate preclinical studies, formulation development, and CMC processes by 50% with Scientific AI.
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
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
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
Learn how to transform your scientific data into AI-based outcomes.
Find out what you need to embark on your AI journey and how to reach your goals faster.
We are glad to have TetraScience as our partner for large-scale onboarding of new lab data sources. We are looking forward to an ongoing collaboration with TetraScience as we make progress on the AI journey.
Dmitriy Ryaboy
VP of AI Enablement
TetraScience is the core platform for our scientific data and a real differentiator and accelerator to our business.
Bryan Holmes
Vice President Digital & Technical Solutions
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