PRITHVI
Introducing Prithvi: Deep Forest Sciences' Next-Generation AI for Scientific Discovery
Leveraging large scientific foundation models and cutting-edge AI techniques, Prithvi accelerates the discovery of new molecules, materials, and designs through a modular, extensible AI framework built on years of open infrastructure development with DeepChem
PARTNER
Biotech Company Aims to Design Small Molecule for Challenging Target X
MODEL
Prithvi Model
Target Validation
Prithvi confirms target validation
Structural Analysis
Prithvi generates structures, samples protein conformations, and identifies binding sites.
Hit Design
Prithvi suggests synthetic modifications to hit and designs a suitable lead.
Lead Optimization
Prithvi's models suggest modifications to create selective lead.
Animal Model Screening
Animal model screening highlights unexpected toxicity. Prithvi creates rescue modifications.
SCIENCE
Revolutionizing Discovery with Differentiable Physics and Scientific Foundation Models
Uncovering Meaningful Patterns from Minimal Data to Solve Complex Challenges in Medicine, Materials Design, and Beyond
Scientific Foundation Models
Scientific foundation models distill information from freely available unlabeled data into rich priors for downstream scientific discovery tasks. Trained to recapitulate known scientific information, much like a human scientist learning basic facts and conducting experiments, these models leverage trained representations to accelerate progress on real-world challenges, even with limited data.
Differentiable Physics
Differentiable physics uses differentiable programming to model physical, chemical, biological, and engineering systems. It encompasses high-dimensional partial and ordinary differential equation solutions, deep representation learning, and rich priors from scientific foundation models. Deep Forest Sciences is a leader in this emerging field.
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