Judgment Labs is building the continuous-improvement stack for AI agents. While traditional observability focuses on logging exceptions and latency, our Agent Behavior Monitoring (ABM) surfaces behavioral anomalies such as instruction drifts and context retrieval loss in scaled production environments.

Hundreds of teams building autonomous agents rely on Judgment to understand how their systems are behaving post-deployment. Instead of reactive incident triage, they cluster patterns across conversations and workflows, correlate regressions to specific interaction types, and pinpoint where reliability breaks down in their usage context.