Tamr doubles SaaS revenue as AI drives data mastering

Tamr reported sharp growth in direct SaaS revenue in its latest fiscal year, along with gains in customer numbers and retention, as it positions master data management as a prerequisite for production AI deployments.

Direct SaaS revenue rose 102% year on year in FY26. Tamr reported 97% gross revenue retention and 109% net revenue retention. Its SaaS customer base grew 49%, and new customer additions were up 70% from the prior year.

Master data management aims to create consistent identifiers and records for core business entities such as customers, products, suppliers, locations, and organisations. The discipline has drawn renewed attention as companies seek to reduce duplication and inconsistency across systems that feed analytics and AI applications.

Average contract value also increased, which Tamr said contributed to the growth in direct SaaS revenue.

Chief executive Anthony Deighton framed the results around a shift from AI experimentation to live operational use.

"Across industries, organizations are moving beyond AI experimentation, but AI in production is a different game than AI in a pilot," said Anthony Deighton, CEO of Tamr. "To get the most value from AI systems, the data behind them has to be unified, accurate and always up-to-date. Our record growth shows the power of our AI-native approach to data mastering - helping companies move beyond rigid, rules-based approaches to build trusted, connected foundations that keep up with the demands of their business."

Operational demand

Tamr said it processed billions of records across customer environments globally during the year. API web requests rose by nearly three times year on year, which it attributed to more systems retrieving and updating master data in real time.

Higher API volumes can indicate deeper integration of a data management platform into day-to-day processes, particularly when applications call for reference data during transactions or routine workflows. Tamr did not say which industries drove the increase or how much of the activity related to AI workloads versus operational systems.

Customer example

Among newer deployments, Tamr cited EIDR, the Entertainment Identifier Registry, a non-profit association that manages universal identifiers for film and television content and other audiovisual works. EIDR selected Tamr to verify and deduplicate content records, according to the company.

EIDR managing director Hollie Choi said the organisation deals with variable incoming metadata and operates at a global scale.

"We assign unique identifiers so content can be shared and reconciled across studios, streamers, and distributors worldwide, making automation and accuracy foundational to our mission," said Hollie Choi, managing director of EIDR. "Given the variability of incoming metadata and the global footprint of the companies we support, thoughtful automation is essential. By adopting Tamr's AI and machine learning technology, we are modernising our data mastering approach, reducing human intervention, and increasing precision across large and complex datasets. Early results demonstrate meaningful improvements in efficiency and data quality, which will allow EIDR to grow without compromising reliability."

Product changes

Tamr outlined several product developments during the year, including a new module called Curator Hub. It described the module as an entry into agentic data curation, with AI agents working alongside human users.

It also introduced a "Bring Your Own Agent" architecture, which it said allows customers to integrate custom AI agents into Tamr workflows using a supported low-code approach.

Tamr expanded multi-domain mastering across more entity types, including products and locations, and improved cross-entity relationship detection and visualisation. It highlighted 360-degree views across domains such as households, organisations, and healthcare providers.

The company also cited updates to connectivity and governance. It added out-of-the-box support for Microsoft OneLake and Delta Lake, along with other sources, and expanded configurable webhooks for notifications and events into external systems, including Salesforce, Slack, and Microsoft Teams. It also enhanced Identity Provider group management for Single Sign-On access control.

Patents and market

Tamr said it received a new US patent for entity resolution technology, identified as US Patent No. 12,242,982, covering "using clusters to train supervised entity resolution in big data". The company said it now holds 19 patents spanning AI, machine learning, and data curation.

On market positioning, Tamr cited recognition from The Software Report and a Gartner report that listed the company as a representative identity resolution vendor. The Gartner report described master data management as a source of clean master data for analytics and a way to generate AI-ready data for generative AI projects.

Tamr said customers are increasingly using its software to unify fragmented data across systems. Deighton said the company aims to replace rigid, rules-based methods with an approach built around AI techniques and ongoing updates to mastered records.