Closing the Scientific AI Gap
Explore resources to learn how to transform your scientific data into AI-driven outcomes.
Media Formulation Assistant
The Tetra Media Formulation Assistant uses an advanced in silico model to predict the best formulations for a given cell line. This innovation has the potential to reduce wet lab experiments by up to 88%
Lead Clone Selection Assistant
The Tetra Lead Clone Selection Assistant combines the Tetra Scientific Data and AI Platform 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 Scientific AI Gap
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.
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.
Meet with a Sciborg
Tetra Sciborgs work across science-based industries to transform data into the building blocks for predictive analytics and AI. Meet with our team to:
See the Tetra Scientific Data and AI P in action
Explore your scientific use cases with our Sciborgs
See universal tools for Scientific AI
