Applied Compute
Applied Compute trains enterprise-specific AI agents on a company's proprietary workflows and institutional knowledge, then deploys them into production with a continuous learning loop so they improve from real decisions over time.
Evidence notes
Who uses it: Large enterprises (customers named include DoorDash, Cognition/Windsurf, and Mercor; sectors cited include financial services, healthcare, logistics, biotech, and hyperscalers) whose infra or product teams need specialized agents that outperform general...[9]+4Reported
Product: Forward-deployed engineers embed within customer organizations to build eval environments, ingest institutional context into a Contextbase, fine-tune or post-train smaller models via RL against customer-defined reward functions, and deploy agents that feed...