Description
Tamr is an AI-native master data management (MDM) platform designed to unify, clean, and enrich data across disparate systems and sources. Founded in 2013, Tamr is based on research from MIT's Computer Science and AI Lab and aims to modernize data mastering by leveraging AI at its core. Unlike traditional MDM solutions, Tamr uses machine learning for entity resolution, schema mapping, real-time search, and data enrichment, providing faster, more scalable, and accurate data mastering.
Tamr's platform supports various industries, including financial services, healthcare, retail, and manufacturing, helping organizations solve data quality challenges like duplicate records and fragmented views. It creates golden records that are accurate and reliable, enabling better business outcomes. Tamr's pricing model is based on the number of golden records created, offering unlimited users and including onboarding and standard support.
Tamr integrates with major cloud providers like AWS, Google Cloud, and Azure, and supports hybrid environments. It offers data products for specific business entities, such as B2B Customers, Suppliers, and Healthcare Providers, allowing organizations to master data efficiently. Tamr's AI-powered approach ensures continuous improvement through human-in-the-loop feedback, making it adaptable to evolving data structures and taxonomies.
Tamr provides a comprehensive solution for data mastering, enabling organizations to transform customer experiences, drive sales, boost operational efficiency, and minimize risks. Its commitment to innovation is reflected in its patent portfolio and partnerships with top-tier investors. Tamr is not FedRAMP compliant but offers robust security measures, including SOC 2 compliance and encryption standards.
Tamr AI-Native MDM's Core Features
AI-native master data management
Entity resolution
Schema mapping
Real-time search
Data enrichment
Golden records creation
Cloud-native platform
Hybrid data environment support
Unlimited users
Onboarding and support included
How to use Tamr AI-Native MDM?
Configure: Set up data sources and integrations
Use: Leverage AI for data mastering tasks
Optimize: Continuously improve data quality
Integrate: Connect with cloud and on-premises systems
Tamr AI-Native MDM's Use Cases
- Customer 360
- Supplier Management
- Healthcare Data Mastering
- CRM/ERP Unification
- MDM Modernization






