Lila Sciences expanded its Series A with a new $115 million tranche that included investment from Nvidia’s venture arm, taking the round to about $350 million total. The Flagship Pioneering‑backed startup pursues an ambitious ‘scientific superintelligence’ approach that connects AI models to experimental systems for accelerated discovery. The added capital is intended to scale Lila’s platform, hire talent and broaden its early programs across biology and molecular engineering. Investors framed the financing as a bet on startups that tightly integrate advanced AI models with lab automation and experimental feedback loops. Lila’s raise underscores growing investor interest in firms that combine high‑compute AI assets with wet‑lab execution to reduce lead times in preclinical research.