Tamr AI-Native Master Data Management

Tamr, Inc. is an AI-native master data management (MDM) vendor that issues its releases from Cambridge, Massachusetts. It helps large enterprises unify, clean and enrich customer, contact, supplier, product, location and healthcare provider data spread across CRM, ERP and other systems, replacing slow rules-based legacy MDM.

The SaaS platform uses machine learning for entity resolution with built-in external reference data to create golden records, and Tamr RealTime keeps operational systems supplied with current master data through APIs. Curator Hub lets AI agents and data stewards work together on curation tasks, Bring Your Own Agent plugs custom agents into workflows, and an MCP connector links mastered data to LLMs. It also offers an enterprise knowledge graph, data quality, governance and enrichment. Customers shown include Toyota, Mizuho, Rakuten, Globe Telecom, Societe Generale, AstraZeneca and FedEx.

• AI entity resolution: Machine learning matching with built-in external data to create golden records.
• Tamr RealTime: Serves current master data to operational systems via APIs.
• Curator Hub: AI agents and data stewards collaborate on data curation with human oversight.
• Bring Your Own Agent: Low-code integration of custom AI agents into Tamr workflows.
• Enterprise knowledge graph: Connects people and organisation data and detects cross-entity relationships.
• LLM connectivity with MCP: Exposes mastered data to large language models and agents.

A Vietnamese telco can master tens of millions of subscriber records into a customer 360 for churn and upsell models. A bank can deduplicate corporate customers and link related entities for credit risk and know-your-customer checks. A manufacturer or retailer can unify supplier records across ERP instances to improve procurement spend analysis.

Machine learning matching scales to billions of records without hand-written rules, shortening MDM projects. Built-in external data improves match accuracy and enrichment for companies and contacts. Societe Generale reduced manual data preparation by 90% according to the site. The vendor reports 97% gross revenue retention and 109% net revenue retention in FY2026, signalling stable customer adoption.

Enterprises are replacing legacy rules-based MDM with machine learning and agentic approaches so that customer and supplier data is ready for generative AI. Asian adopters such as Globe Telecom, Rakuten and Mizuho show demand among telcos, banks and digital platforms, a profile that matches large Vietnamese and Southeast Asian enterprises building customer 360 programmes.

Tamr, Inc. issues releases from Cambridge, Massachusetts. In FY2026 (ended January 2026) it reported 102% growth in direct SaaS revenue, a 49% larger SaaS customer base and 19 patents, including a new US patent for entity resolution. It was listed in The Software Report's Top 25 Data Management and Analytics Companies 2025.