Making agents reliable at real work.

Agents deployed in real businesses today. Simulated companies for frontier labs to train against.

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Built by a team from

Mercor
Stanford University
Harvard Medical School
Patronus AI
UC Berkeley
UT Austin
Mercor
Stanford University
Harvard Medical School
Patronus AI
UC Berkeley
UT Austin

How it works

Agents need the same things your team does: the right tools, clear guardrails, and feedback on every piece of work. Read the case studies.

01

Connect

Securely connect the tools your team already uses to automatically discover workflows and create a workspace for your agents to operate in.

02

Deploy

Agents go to work inside that workspace, under guardrails you set. Nothing irreversible happens without sign-off.

03

Evaluate

Every run is measured. We find the failures and fix the edge cases before they cost you.

04

Improve

We post-train models on your own work. Accuracy compounds for you alone. You own your inference.