Traceloop raises $6.1 million in Seed funding to stop AI agents from going rogue | CTech
Summary
Traceloop, a startup founded by machine learning and enterprise software veterans, announced Tuesday that it has launched its commercial platform and raised $6.1 million in Seed funding to make AI agents production-ready.The funding round was led by Sorenson Capital and Ibex Investors, with participation from Y Combinator, Samsung NEXT, and Grand Ventures.Traceloops core mission is to bring engineering discipline to the still-fragile world of AI agents, those software entities that use large language models (LLMs) to act autonomously on behalf of users. They just stop using the product.Prompt engineering shouldnt be a guessing game or rely on vibes, said CEO and co-founder Nir Gazit. When we bring the same rigor to AI that we expect from the rest of our stack, we unlock its full potential.Gazit and CTO Gal Kleinman, who previously led ML infrastructure at Fiverr, built Traceloop after observing a persistent gap between AI performance in demos and behavior in production. Gazit previously spent four years at Google building LLM-based systems to predict user engagement and retention.Traceloops solution is built on top of its open-source technology, OpenLLMetry, which is now commercially available. The platform replaces manual trial-and-error testing with automated evaluations of agent performance, enabling developers to detect problems early, track real-world behavior, and deploy fixes with greater confidence.