agent-tracing
(2)
HoneyHive
HoneyHive is a New York-based AI observability and evaluation platform that helps engineering teams ship reliable AI agents. Built OpenTelemetry-native, it unifies distributed tracing, offline experiments, real-time monitoring, and human-in-the-loop annotation into a single continuous-improvement loop so teams can see not just what an agent output, but how it got there and where it went wrong. Founded in 2022 by Columbia roommates Mohak Sharma and Dhruv Singh, HoneyHive is used in production by enterprises including Commonwealth Bank, NVIDIA, MongoDB, and Pinecone, and raised $7.4M in total seed funding led by Insight Partners.
Judgment Labs
Judgment Labs is a San Francisco applied-research startup building the continuous-improvement layer for AI agents. Its platform and open-source SDK, Judgeval, trace, evaluate, and monitor 'deep agents' - systems that reason, plan, use tools, and remember - turning messy production data into measurable, repeatable improvements. Founded in 2026 by three childhood friends out of Stanford, it raised $32M in combined seed and Series A funding led by Lightspeed Venture Partners.