Fast-track drug development
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.
Get access to better data
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
Maximize lab productivity
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
Optimize outcomes
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
