Battery Ventures, Doer Capital, Gil & Co., Google, M13, Pear VC and S32 also participated, Mirendil said. The company builds artificial-intelligence systems intended to make AI-driven research and development more accessible to scientists and engineers working in biology and medical fields.

Mirendil said one researcher using AI agents recently pretrained its coding model, Mirendil-Base, in three and a half months, using less than $10 million in computing resources. Another product, Lor, is in private beta. It is designed to have hundreds of agents write code and run experiments for days at a time.