Inductive Bio has secured up to $21 million in funding to develop AI-driven drug toxicity models that could transform safety assessments in drug discovery. The initiative, called DATAMAP, involves collaboration with Amgen, Cincinnati Children's Hospital Medical Center, Baylor College of Medicine and Torch Bio. The project aims to reduce reliance on animal testing by using human-derived data from organoid systems to predict drug safety more accurately. Currently, nearly 90% of clinical-stage drug candidates fail to reach market, with 25% failing due to unforeseen safety issues. The initial phase will focus on drug-induced liver injury and cardiotoxicity, which account for over 40% of drug withdrawals. Inductive Bio will work with the FDA to validate these AI models for regulatory approval, aligning with the agency's push to modernise drug development methodologies.

Inductive Bio has secured $25M in Series A funding led by Obvious Ventures, with participation from a16z Bio + Health, Lux Capital, and others. The company aims to transform drug discovery with its collaborative AI platform, which accelerates compound optimization by predicting molecular behavior before lab synthesis. This approach reduces costs and speeds up drug development. Inductive Bio's platform has shown success in the Polaris ADMET competition and plans to expand its team and platform reach.

Inductive Bio raises $25M in Series A funding.