AI-Powered Data Quality
Improve data quality without rules or daunting manual curation. Tamr brings AI-powered automation to data quality workflows for better decisions and greater trust.
Fix Less. Trust More.
Ensure your data is validated, standardized, and consistent across sources, supporting strong data governance, better decision-making, and smoother day-to-day business operations.
Continuous Quality, Not Continuous Cleanup
Tamr goes beyond static rules and dashboards. By using machine learning to detect errors, standardize values, and guide human decisions, Tamr turns data quality efforts into a proactive, ongoing process—not a one-time cleanup.
Know Your Data
Informed decisions start with transparent, explainable data. When teams understand how complete their data is, where it overlaps across sources, and which fields have missing values, they can prioritize efforts, close quality gaps, and deliver trusted data faster.
Intuitive Curation Experience
Tamr automatically surfaces and flags data quality issues like missing or invalid values, duplicates, and formatting issues across datasets, so curators can focus on what matters most without digging through thousands or even millions of rows.
Embedded Stewardship & Feedback
No-code UI and guided workflows make it easy for data stewards to provide feedback. Business users can take an active role in data cleansing by reviewing flagged duplicates, potential relationships, and data quality issues—all surfaced in a simple, intuitive inbox.
Tamr’s AI-Native Advantage in Action
In the startup world, change is constant. But one thing remains consistent: our values. We believe there’s a strong link between happy people and healthy startups, and we’re committed to building a safe and nurturing environment for our team. We do this through:
Data Quality that Learns
Tamr doesn’t just find issues—it gets smarter over time. Our AI adapts to your data, flagging the right problems and improving suggestions as users provide feedback.
Built for Business Trust
When your data is clean, consistent, and explainable, teams trust it. Transparent workflows, role-based controls, and audit trails help teams govern data at scale without added friction.
Consumption Readiness
Tamr ensures your data is accurate, consistent, and ready for real-time use—whether for analytics, operational workflows, or AI applications.
Data Quality FAQs
Tamr uses patented, fit-for-purpose AI/ML models to improve data quality for AI, analytics, and operations. Machine learning models tackle core data cleaning tasks such as entity resolution, match verification, data standardization and normalization, and schema mapping, while deep learning models enable real-time semantic search. And GenAI models power agentic data curation to address difficult edge cases with minimal human involvement.
Tamr RealTime’s “search before create” API workflow uses deep learning AI and semantic search to identify existing records that are a potential match for the new entity while the data is still in motion. Then, using a human-guided feedback loop, users can flag potential duplicates early and prevent them from entering production data sets.
Yes, Tamr offers an intuitive, low-code/no-code environment that allows users to utilize out-of-the-box, domain-specific data products to get started immediately using pre-trained AI models for fixing data quality issues. They can also interact with the data via Curator Hub to inspect and resolve common data quality issues such as errors, duplicates, and inconsistencies manually or using AI agents—all without the need for coding.
Tamr combines machine learning, agentic AI, and human feedback to unify, clean, and enrich data across silos and sources to produce golden records that are accurate, complete, and continuously maintained.
Tamr is the industry standard for AI-native master data management. Unlike traditional MDM solutions such as Reltio, Informatica, Boomi, IBM Infosphere, and Semarchy, everything we deliver—from our architecture to workflows to user interface—is built around AI. Instead of relying primarily on rules that are complex and expensive to maintain, Tamr takes an AI-centric approach to data mastering that is far more cost-effective, scalable, and reliable. And with a modern, event-driven, API-first architecture, Tamr easily integrates with virtually any other platform and supports agentic AI workflows and a unique “bring-your-own-agent” model.
Your Guide to Data Quality Analysis
5 Data Cleaning Techniques
Data Accuracy vs. Data Consistency: Why You Need Both
See for yourself
Get a free, no-obligation, 30-minute demo of Tamr, and discover how our unique AI-native MDM solution can empower you to deliver data you can trust.