BentoLabs AI is a Y Combinator–backed startup that provides a monitoring and learning platform for long-running AI agents. The company builds production infrastructure that plugs into existing agent harnesses and observability stacks to watch AI agents in production, detect silent failures, regressions, and drift from user goals or tool contracts, and surface affected users and root causes. Its closed-loop system turns every resolved failure into durable agent intelligence—new skills, corrected paths, or subagents—so recurring failures are fixed once and stay fixed and each subsequent run benefits from everything previous runs have learned. BentoLabs combines observability, failure detection, root-cause triage, and human-gated recursive learning to help teams scale agent ecosystems without scaling human firefighting, effectively becoming the continuous improvement and reliability layer for production AI agents.