Collibra buys Munich's trail ML to automate AI governance
What's the deal? Collibra has acquired trail MLDealroom has a profile for this one. Try Dealroom →, a Munich-based AI governance startup founded in 2023, the New York company announced on October 5, 2026. Terms were not disclosed. trailDealroom has a profile for this one. Try Dealroom → ML was founded by Anna Spitznagel, Nikolaus Pinger, and Sven Hölzel.
What's the endgame? Collibra, which calls itself the enterprise AI control plane, governs data, models, applications, and agents. trail ML adds agent-powered automation that can analyze evidence, determine which requirements apply, assess controls, and flag gaps. The aim is to turn static governance policies into continuous, automated action.
How it works: trail ML's agents determine which frameworks apply to an AI system and check whether controls are effective, covering regulations and standards such as the EU AI Act, ISO 42001, and the NIST AI Risk Management Framework. When supporting evidence changes, assessments can rerun automatically — shifting from point-in-time checks to a continuously updated view.
Why now? As companies deploy more autonomous agents, incidents increasingly stem from agents taking actions rather than models giving answers. trail ML's runtime capabilities enforce Collibra policies where agents run, blocking actions that violate them before they happen.
"AI governance cannot become another manual process that slows organizations down as AI scales," said Felix Van de Maele, co-founder and chief executive officer of Collibra. For governance, risk, and compliance teams, he said, that means "less manual work assessing controls and maintaining evidence."
"We founded trail ML because we believe AI governance has to be automated and operational," said Anna Spitznagel, co-founder and chief executive officer of trail ML.
By the numbers: Collibra, built over 18 years of ontology engineering, serves more than 700 customers, including 78 of the Fortune 500, and governs more than 2 billion assets.
The signal: As enterprises race to deploy agents, the compliance burden around rules like the EU AI Act is growing faster than teams can manage by hand. The deal reflects a shift toward automated, continuous governance — and consolidation as established platforms absorb specialist startups to handle AI oversight at scale.
Read more: prnewswire.com
Image credit: Generated with Gemini
