Applied Compute scales reinforcement learning for custom enterprise agents on Modal

Applied Compute trains custom enterprise AI agents via reinforcement learning, building on Modal's sandboxes, Functions and sub-second cold starts to keep thousands of parallel rollouts GPU-bound. Its agents include a merchant onboarding model for DoorDash and a bug-catching agent for Cognition.