Home / Technology / AI Speeds Drug Discovery, Secures $25M
AI Speeds Drug Discovery, Secures $25M
13 Jan
Summary
- Startup Converge Bio uses generative AI for faster drug development.
- The company secured $25 million in an oversubscribed Series A round.
- AI is transforming drug discovery from trial-and-error to data-driven.

The pharmaceutical and biotech industries are rapidly adopting artificial intelligence to shorten research and development timelines and enhance success rates. Converge Bio, a startup based in Boston and Tel Aviv, is at the forefront of this shift, utilizing generative AI trained on molecular data to expedite drug development. The company recently closed an oversubscribed $25 million Series A funding round, underscoring growing investor confidence in AI-driven solutions for drug discovery.
Converge Bio's platform employs generative models trained on DNA, RNA, and protein sequences, integrating them into existing pharmaceutical workflows. Their offerings include specialized AI systems for antibody design, protein yield optimization, and biomarker discovery. These ready-to-use systems, which combine multiple AI components, are designed to plug directly into clients' research pipelines, eliminating the need for complex model integration by the customers.
This latest funding follows a $5.5 million seed round in 2024. Since its inception, Converge Bio has rapidly scaled, forming 40 partnerships and running numerous programs. The company is expanding its global reach, moving into Asia, and has grown its team substantially. The broader AI-driven drug discovery sector is experiencing significant momentum, marked by major collaborations and Nobel Prize recognition for AI in protein structure prediction, indicating a profound industry-wide transition towards computational and data-driven approaches.




