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We're a team of researchers and engineers.
Building the foundation for an autonomous future.
Our vision.
Every organization encodes its own judgment through workflows, policies, and accumulated operational decisions. General models provide capability, but they do not understand how a specific company actually operates. As AI systems are adopted, companies will increasingly rely on their own data and processes to develop operational intelligence.
As agents move towards autonomy, their reasoning must be validated continuously. Human review and hand-written tests cannot scale to systems operating at machine speed, leaving behavior difficult to diagnose and failures unpredictable. Closing the automation loop requires autonomous evaluation: systems that can assess decisions, learn from outcomes, and safely expand responsibility without constant human supervision.
We are building the infrastructure that allows organizations to operationalize agents without losing control over how decisions are made. Our systems continuously model and evaluate organization-specific judgment by validating agent reasoning against real workflows, policies, and outcome. This enables agents to remain aligned with how the company actually operates.
By integrating autonomous evaluation directly into agent execution, companies can expand agent responsibility safely without relying on constant manual oversight. Our goal is to make operational intelligence safe, reliable, and durable for everyday workflows.
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Keeping your AI agents safe and reliable as you scale.