Ataccama posts record AI data trust wins in 2025

Ataccama has reported record enterprise customer wins in the fourth quarter of 2025 and said it has sustained a 30% compounded annual growth rate over the past three years, as companies increase spending on data governance for artificial intelligence projects.

The Boston-headquartered data management vendor also said it signed more than thirty deals worth at least USD $1 million during 2025, another record for the business.

It linked that performance to a shift in large organisations where data integrity work moves closer to the systems that produce and use data, rather than being handled later by centralised teams.

Ataccama sells software that organisations use to manage data quality, track where data comes from, and apply governance controls. The company positions its Ataccama ONE product suite as a "data trust" layer between multiple data sources and downstream applications, including AI systems that act with more autonomy than earlier chatbot-style deployments.

Agentic platform

In November, Ataccama launched what it calls an "Agentic data trust platform".

The company said the release compresses the time needed to prepare data for AI use. The platform includes the ONE AI Agent, which Ataccama said can assist with defining data quality rules, detecting issues earlier, and directing problems to owners closer to the source.

The agent approach reflects a broader trend in enterprise software where suppliers are embedding generative AI features into tools used by data and analytics teams. In this model, an AI component proposes actions and flags anomalies. Human users still decide whether and how to apply changes, depending on an organisation's controls and operating model.

Ataccama said more than 75% of customers signed during the fourth quarter have integrated its generative AI features into production workflows. The company described the focus as improving efficiency and scalability in data management work.

Mike McKee, Chief Executive Officer of Ataccama, said the stakes are rising as organisations move towards more autonomous systems.

"The era of 'good enough' data is over. In the agentic era, a data error isn't just a manual hurdle-it's a systemic risk that scales as fast as the AI itself," said Mike McKee, CEO of Ataccama.

McKee also pointed to changes in how enterprises organise data work across business units.

"Our record new logo growth this quarter shows enterprises are moving away from slow, centralized data teams and projects toward agile, federated data teams and products. Ataccama delivers the data trust layer that connects fragmented sources to AI orchestration, so every autonomous decision stays grounded in governed, real-time reality," said McKee.

Partner channel

The company said partner-sourced pipeline grew 40% in the 2025 financial year. It highlighted Snowflake and systems integrators including Deloitte and Cognizant, and said "data readiness" is increasingly a prerequisite for cloud modernisation programmes.

Ataccama did not disclose revenue, but it said expansion among existing customers lifted average annual recurring revenue per customer by 16% across the year. It described customers as extending deployments to additional business units as AI projects spread beyond early pilots.

Data governance and quality tooling has drawn increased attention as organisations face rising compliance expectations and internal risk controls for AI. Many companies also report difficulty maintaining consistent definitions, reference data, and lineage across modern data estates that span cloud platforms, on-premise systems, and third-party applications.

Regulated sectors

Ataccama said it has seen new demand in regulated industries. It cited a global financial services customer that deployed automated data controls within days. It also cited an asset management customer that selected the software as part of a shift to decentralise data ownership, with business users involved in verification for automated investment modelling.

T-Mobile is among the customers referenced by Ataccama. Jason Wright, Manager of Technical Products and Solutions at T-Mobile, said the operator treats data trust as a core operational concern as it scales.

"Data is at the core of how we grow and serve our customers, and at our scale, trust in that data is paramount," said Jason Wright, manager of technical products and solutions at T-Mobile. "Ataccama provides us with a foundation our teams can depend on, with governed, curated data flowing through Snowflake to accelerate data quality and ensure our data is ready to power the next generation of AI-driven processes," said Wright.

Ataccama said its platform brings together data quality, observability, lineage, and reference data management in one system. The company said customers use that approach to reduce the number of tools in their data stack and to extend governance across distributed data environments as AI projects move into production.