Self-improving agent infrastructure for the enterprise.
In 2026, enterprises are racing to be agent-native but are stuck with prototypes that don't work well enough to ship. The bottleneck is no longer the model, but instead the harness infrastructure (memory, orchestration, prompts, etc) around it.
We build enterprise agent harnesses that not only work, but self-improve over time to nail specific business outcomes. We're enabling companies to deploy agents in days that continue to get better with real use.
We're a team of researchers and engineers (ex. Tesla Autopilot, DoorDash AI, Metis, Amazon AI, Microsoft) working with a limited set of initial partners.