Traceloop is joining ServiceNow
Two and half years ago, Gal and I started Traceloop. We've spent years building ML pipelines at Google and at Fiverr, and we knew the pain of debugging black boxes in production. When LLMs started changing everything, we saw the same gap opening up again, only wider. So we built OpenLLMetry, an open-source observability framework for LLM applications, grounded in OpenTelemetry. One line of code, full observability. The community showed up for it, and it became the standard. IBM, Microsoft, and dozens of other organizations adopted it. Even our competitors started building on top of it. That's when we knew we'd gotten something fundamentally right.
We went through Y Combinator, where we sharpened our focus and accelerated everything. In early 2025, Ibex Investors, Sorenson Capital, and Grand Ventures backed our seed round. Their support gave us the runway to turn OpenLLMetry's momentum into a real platform.
On top of OpenLLMetry, we built the Traceloop platform: a full observability and evaluation solution for enterprise AI. We gave teams the ability to trace every LLM call in production, run built-in quality checks like faithfulness and relevance on real traffic, and train custom evaluators on their own data so they could define what "good" looks like for their use case. We added drift detection to catch quality regressions before users felt them, and experimentation tools to let teams swap models or rewrite prompts with data-backed confidence instead of guesswork.
None of it would exist without Gal Kleinman, my co-founder and CTO, and the incredible engineers who built this with us. They built what I believe is the best AI monitoring platform in the market. The kind of people our customers trusted to keep their AI running in production. That's them.
Today, I'm excited to share that Traceloop is joining ServiceNow, where our technology will become part of ServiceNow's AI Control Tower.
WhyServiceNow
Our conversations with ServiceNow actually started around OpenLLMetry. They saw what the open-source community had built and wanted to bring that capability into the enterprise. But as we dug deeper, especially into AI Control Tower and what ServiceNow is building for enterprise AI governance, something clicked.
ServiceNow’s AI Control Tower manages, governs, and measures every AI system across an organization. It's the command center enterprises need as AI scales from experiments to mission-critical workflows. What it needed was deep observability and evaluation: the ability to see not just what AI is doing, but how well it's doing it, in real time, across every model, agent, and workflow.
That's exactly what we built.
What this means for our community
OpenLLMetry will remain open-source and we plan plan to continue contributing to the OpenTelemetry ecosystem that made all of this possible. We're committed to the community and look forward to what we can build together.
Existing Traceloop customer: We intend to honor all obligations to customers and continue to sell the Traceloop functionality and we will communicate any changes to the product roadmap in advance. We'll be reaching out to each of you separately with more details. Thank you for trusting us with your AI observability. That trust is something we don't take lightly.
What's next
We're joining a team that shares our belief that AI observability isn't optional. It's foundational. As enterprises deploy more AI agents, more models, and more complex workflows, the need for visibility and governance only grows. Inside ServiceNow, we'll have the platform, the reach, and the resources to build the observability and evaluation layer that enterprise AI demands. Together, the combination of Traceloop and ServiceNow AI Control Tower will power deeper observability todrive intelligent governance workflows.
To our open-source contributors, our customers, and everyone who believed in what a small team from Israel could build: thank you. And to our investors Aaron, Nathan, Eric, and Vidya: the way you showed up for Gal and me meant everything. This is the beginning of the next chapter, and we're just getting started.
Nir
