Lila Sciences develops an AI-driven platform that trains models on scientific literature across material sciences, chemistry and life sciences and generates experimental hypotheses. The company pairs those model outputs with laboratory setups to experimentally validate and close the loop between prediction and reproducible results. Reporting says Lila aims for a domain‑crossing, general-purpose science enablement stack rather than narrowly focused tools. Financially, it has completed a reported $200 million seed, emerged from stealth last year, and closed a $350 million Series A in October that lifted its valuation above $1.3 billion. Current reporting describes Lila negotiating an approximately $2 billion financing to scale compute, inference and laboratory capacity and to accelerate partner programs. The firm's growth narrative emphasizes standardizing experiment and feedback loops to make discovery repeatable and scalable.

Total raised

$550M

Funding rounds

3

Latest round

Series A

Latest activity

Oct 2025