The Only AI-Native MDM Solution

Tamr, the world’s only AI-native master data management solution, is built to deliver trusted data for operations, analytics, and AI initiatives. By unifying, cleaning, and enriching fragmented enterprise data, Tamr gives teams a single, always-up-to-date data foundation. 

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Let’s look at a B2B Customer 360-degree page as an example. This golden record shows the best information available for Geico, including related entities such as parent company and employees. This record is tied together across all sources with a persistent Tamr ID and verified against Tamr’s firmographic corpus of over 500 million company records to ensure it represents the correct legal entity.

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One of Tamr’s core strengths is our patented, AI-powered entity resolution. This golden record was built from multiple source systems without changing any underlying source data, including source ID. Individually, these source records are often incomplete or inconsistent. For example, this record from Salesforce only contains a name and a partial address.

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Linking all this data is just the first step. As data flows through Tamr, the platform automatically cleanses and standardizes fields like emails, phone numbers, addresses, and websites. Tamr also enriches records with trusted third-party data via a no-code UI. As new data arrives or existing records change, Tamr continuously applies these same quality and enrichment rules, so the 360 view stays current.

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You can search Tamr using any source ID and be routed to the correct golden record. This same ID routing powers Tamr’s real-time APIs and Change Data Capture webhooks, so when a record is updated, enriched, or merged, those changes are immediately available to downstream systems.

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Master data is no longer just about records—it’s about relationships, too. Tamr models and visualizes connections like corporate hierarchies, households, and links between people, organizations, and other entities, giving teams a complete, connected view of their data.

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As data continues to change, Tamr’s AI agents continuously monitor for issues that may need human input. When Tamr detects an edge case—similar, but not safe to auto-merge—it proactively flags a Suggested Duplicate in Curator Hub, along with clear explainability of what drove the match.

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A steward can review the recommendation and merge records in seconds. The ID chain is instantly extended, ensuring every system always has access to the latest version of the truth.

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This is how Tamr delivers trusted master data—continuously improving quality, uncovering connections, and keeping humans in control.

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Want to see Tamr running on your data? Let’s talk.

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