Traceloop offers a commercial platform and observability layer for AI agents, replacing manual prompt tuning with automated evaluation, testing, and monitoring. Built on the open-source OpenLLMetry project, the product surfaces real-world performance visibility, flags edge cases, and helps teams iterate safely when migrating models. The company emphasizes making agents production-ready and enterprise-grade so teams can deploy changes with data-backed confidence and catch quality issues before they reach users. Traceloop cites enterprise usage of its technology by IBM, Cisco, Dynatrace, and customers like Miro, and notes OpenLLMetry has about half a million monthly installs across packages, 5.6k stars, over sixty contributors, and 50k weekly active SDK installations. The team is led by cofounders Nir Gazit (former Google engineer) and Gal Kleinman (former Fiverr ML platform lead). Traceloop launched to general availability alongside its funding close and plans to use the investment to accelerate product development and expand go-to-market efforts.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

May 2025