US IT firm ServiceNow buys Israeli AI startup Traceloop

ServiceNow has bought Israeli startup Traceloop in a deal estimated between US$60 million and US$80 million, marking the company’s third Israeli acquisition in under three months.

Traceloop is a two-and-a-half-year-old Israeli startup that builds AI observability tools and has raised US$6.1 million while serving customers including IBM, HiBob, Miro, and Dynatrace.

Co‑founders Nir Gazit and Gal Kleinman previously held engineering roles at Fiverr; Gazit also worked on machine learning at Google, and Traceloop is a Y Combinator alumnus.

Its platform is built on the open-source OpenLLMetry and automates evaluations of AI agents to detect failures and track real-world behavior before fixes are deployed.

Traceloop’s CEO said the platform will be combined with ServiceNow’s AI Control Tower.

🔗 Source: Calcalist

🧠 Food for thought

Implications, context, and why it matters.

ServiceNow’s purchase builds an end-to-end AI governance platform

ServiceNow plans to weave generative AI into the Now Platform, which automates enterprise workflows 1.
ServiceNow will fold Traceloop into AI Control Tower, a ServiceNow product that lets clients manage and govern AI systems from one dashboard 2.
Traceloop runs on the open-source OpenLLMetry project. It automates evaluations of AI agents (software that can carry out tasks on a user’s behalf) to catch failures and track real-world behavior before a fix ships.
Open standards support interoperability, so teams can mix AI tools with less risk of vendor lock-in 3.

The deal opens a new battleground for enterprise software in AI trust and safety

The “AI observability” market is maturing fast. These products track how AI systems behave in production.
As pilots turn into live deployments, monitoring and remediation software starts to resemble cybersecurity plumbing 2.
The purchase follows a buy versus build choice in a market that moves quickly.
Large enterprise firms acquire specialized AI startups for product expertise plus scarce engineering talent, which speeds roadmap delivery 2.
Model quality still matters. Governance and safety features can win regulated industries that need auditable AI deployments.