About Tamr's AI-Native Approach

Tamr applies an AI-native approach to master data management (MDM), using AI in unique and proven ways to efficiently solve challenging data quality problems at scale. With our patented AI solutions, Tamr helps you reach your analytical and operational business goals.

Our approach to MDM includes these key capabilities:

AI-driven entity resolution

Tamr reconciles multiple, disparate datasets by using AI to detect and match records that are the same entity such as a person or business.

When clustering records, Tamr applies modified random forest and bottom-up average linkage along with proprietary technology to maximize clustering performance.

AI/ML mastering

Achieve best-in-class mastering through the combination of human feedback from data curators with pre-trained machine learning (ML) models and semantic comparison with large language models (LLMs).

Data enrichment and data quality

Data enrichment and data quality services help to improve matching accuracy and deliver more complete golden records.

• Data enrichment services enrich your data with referential matching paired with a reference database of trustworthy, third-party sources, linked together with unique IDs.
• Integrated data quality services validate, standardize, and improve your source data.

Tamr also provides insights into missing, incomplete, incorrect, and duplicative source data.

Real-time search and record management

Fuzzy search provides instant access to a mastered view of every entity that matters to the business, both in the Tamr Cloud UI and via our APIs.

Using our Tamr Cloud RealTime APIs, prevent duplicate from entering your System of Record by searching for matches in real-time, and then either creating new records or updating existing ones.

More Information

Learn more about how Tamr solves real-world entity resolution at scale in our five-part video series.