The AI supercloud for open models: train, serve and continuously improve your own models
Applied Compute builds AI infrastructure that lets companies train, run and continuously improve their own models on open weights using their own data and expertise. Its AC2 agent cloud brings training, inference and continual improvement together, and its inference service serves more than 1 trillion tokens a day. Customers named by the company include Microsoft, Shopify, Mercor, Harvey, DoorDash, Cognition, Clay and Decagon. In November 2026, less than 18 months after founding, Applied Compute said it had reached a $100M annualized revenue run rate and raised $350M at a $3.25B valuation in a round led by Elad Gil, with participation from Kleiner Perkins, Lux Capital, NVIDIA, Blackstone and others.