AI tools for life-science teams working on target discovery, molecule design, evidence synthesis, clinical trials, and decentralized study operations.
This stack covers the life-science side of healthcare AI: discovery, evidence, molecules, and trials. It is less about clinical workflow and more about speeding research and development.
AI-powered drug discovery platform combining biology, chemistry, and ML at scale. Recursion (Nasdaq: RXRX) operates one of the largest biological datasets in pharma, generating petabytes of phenomic, transcriptomic, and chemical data to train ML models.
Used here for: AI-enabled drug discovery platform combining biology, automation, and large-scale data.
End-to-end generative AI drug discovery from target identification to clinical trials. Insilico's Pharma.AI platform (PandaOmics, Chemistry42, InClinico) covers target discovery, generative chemistry, and trial outcome prediction.
Used here for: Generative AI drug discovery and molecule design platform.
Alphabet/DeepMind drug discovery company built on AlphaFold. Isomorphic Labs leverages AlphaFold-derived models to design small-molecule drugs. Partnerships with Eli Lilly and Novartis.
Used here for: AI-first drug discovery company built around advanced biological modeling.
AI-driven drug discovery platform with a knowledge graph and target ID engine. BenevolentAI combines biomedical knowledge graphs with ML to identify novel targets and repurposing opportunities. Partnerships include AstraZeneca and Merck KGaA.
Used here for: AI platform for biomedical knowledge graphs, target identification, and drug discovery workflows.
AI-driven structure-based drug discovery using deep learning for binding prediction. Atomwise's AtomNet predicts small-molecule binding to protein targets and powers internal programs plus 750+ academic and industry partnerships.
Used here for: AI-powered small-molecule discovery and virtual screening approach.
AI biomedical knowledge platform for target discovery and translational research. Causaly extracts causal relationships from biomedical literature to support target ID, biomarker discovery, and competitive intelligence. Customers include AstraZeneca and Novo Nordisk.
Used here for: Biomedical evidence discovery and knowledge graph layer for research teams.
Decentralized clinical trial platform with AI features. Medable provides eConsent, ePRO, eCOA, and AI-driven trial design and operations.
Used here for: Digital and decentralized clinical trial platform for study operations.
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