Inductive Bio Secures $25M to Advance AI in Drug Discovery

Inductive Bio has raised $25 million in Series A funding to enhance its AI platform for small molecule drug discovery, announced in a press release. The funding round was led by Obvious Ventures with participation from Andreessen Horowitz and Lux Capital.

Inductive Bio has raised $25 million in Series A funding to advance its AI-driven platform for small molecule drug discovery, announced in a press release. The funding round was led by Obvious Ventures, with participation from Andreessen Horowitz (a16z), Lux Capital, and other investors.

Inductive Bio's approach involves a pre-competitive data consortium where multiple companies contribute anonymized data, creating a foundational dataset for AI models to learn from real-world drug discovery programs. This data powers Inductive's Compass platform, which predicts a drug's ADMET properties before synthesis, aiding chemists in designing molecules with higher success potential.

The company plans to use the new funding to expand its AI model research and development, grow its data consortium, and deploy its technology across the industry. Inductive Bio aims to democratize AI tools in drug discovery, leveling the playing field for both startups and large pharmaceutical companies.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Life AI Weekly.

Also, consider following us on social media:

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more