Tamr
B · Infrastructure & DataTamr enables large enterprises to unify fragmented data at scale using machine learning, creating trusted master data for customers, products, suppliers, and other critical business entities without requiring extensive manual data engineering.
Last updated Feb 8, 2026
- Industry
- Data Management & Master Data Management (not core AdTech)
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 201-500
- Funding
- $236M
- Revenue Range
- $50M-$100M
- Stock Symbol
- NASDAQ:SYMBOL
- Parent Company
- Parent Company Name
- API Available
- Yes
Market Position
Leading enterprise data mastering platform with machine learning capabilities, serving Fortune 500 companies across multiple verticals
Overview
Tamr is an enterprise data mastering and unification platform that uses machine learning to help organizations consolidate and prepare disparate data sources for analytics and operational use. Founded by researchers from MIT, the company specializes in solving complex data integration challenges for large enterprises, enabling them to create unified, accurate views of critical business entities such as customers, suppliers, products, and other master data. While not strictly an AdTech company, Tamr serves enterprises across multiple industries including financial services, healthcare, manufacturing, and retail, where unified customer and product data can support marketing and advertising operations. The platform's machine learning-driven approach to data mastering, entity resolution, and schema mapping helps organizations overcome data silos and improve data quality at scale, which indirectly supports marketing technology and customer data platform initiatives within large enterprises.
Products & Features
Tamr Cloud
Cloud-native data mastering platform that unifies and enriches enterprise data using machine learning
Golden Records
Creates unified, authoritative records of business entities by resolving duplicates and consolidating data from multiple sources
Data Products
Pre-built data mastering solutions for specific domains like customer, supplier, and product data
Key Features
Machine learning-driven data unificationEntity resolution and deduplicationSchema mapping and data harmonizationHuman-in-the-loop feedback for model improvementMulti-source data integrationData quality monitoring and enrichmentScalable processing for large datasets
Use Cases
Customer 360 and unified customer viewsSupplier master data managementProduct information managementRisk and compliance data consolidationFinancial data reconciliationHealthcare patient matchingSupply chain data unification
Customer Segments
Fortune 500 enterprisesFinancial services institutionsHealthcare organizationsManufacturing companiesRetail and consumer goodsLife sciences and pharmaceuticals