AI Agents Deserve Better Data
Tamr connects clean, complete, real-time data to large language models and AI agents, so they can analyze and draw conclusions with trusted context.
Connect LLMs to the Best Data
Tamr brings AI-native entity resolution, enrichment, and data quality into LLM workflows. Teams can build smart, reliable AI agents that evaluate, understand, and update data with precision and accuracy — strengthening master data management.
Tamr’s In-Product AI Assistant
Tamr users can interact with their data using Tamr’s Integrated AI Assistant (TIA). Whether reviewing a customer record, exploring entity relationships, or drafting personalized content, TIA securely leverages LLM technology to help users query, validate, and act on trusted data without digging or coding.
MCP Server Integration
Tamr’s MCP server allows AI agents to retrieve trusted records, validate and update data, resolve duplicates, and trigger downstream actions. It gives AI the context needed to search, make decisions, and take meaningful actions in real time.
Gemini Enterprise Connector
Through integration with Gemini Enterprise, Tamr makes it easy to bring mastered data into multi-agent LLM environments. Agents can reason across a unified record, reducing hallucinations and enabling smarter collaboration between AI services.
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:
Make Your Data Talk
Empower business users with self-service access to insights and updates through a conversational UI, reducing reliance on data teams and accelerating day-to-day decisions.
Enterprise-Ready AI Agents
Tamr gives AI agents the power to act confidently with clean, governed data. Tamr’s MCP server connects decisions to trusted context—speeding execution, not increasing risk.
Fuel Better LLM Outcomes
LLMs are only as good as their underlying data. Tamr ensures your AI applications work from trusted, enriched records, so outputs are relevant, accurate, and complete.
LLM Connectivity with MCP FAQs
Tamr incorporates AI-native entity resolution, enrichment, and data quality into LLM workflows so that AI agents can retrieve clean, accurate golden records, validate and update data, resolve duplicates, and trigger downstream actions in real time.
Tamr reduces the chance for hallucinations, false responses, or misinformation by supplying unified, clean, and enriched mastered entities for downstream LLM consumption.
Tamr enables organizations to bring master data into LLM environments with multi-agent workflows via MCP integration, giving organizations a secure, governed way to leverage their trusted enterprise data.
Tamr’s MCP server is designed to provide a more dynamic and modern approach to data management compared to traditional data pipelines, which focus primarily on data query, data cataloging, and ETL. With the needs of business users in mind, Tamr’s MCP server enables the delivery of master data to LLMs in a consumable way via a modern, standard protocol.
Tamr’s AI Assistant can support tasks such as reviewing customer records, investigating relationships between entities, and drafting personalized content.
MCP Integration: Why AI Agents Need Context to be Effective and Trustworthy
5 Signs Your Data Is Ready for AI
Tamr and Google Agentspace. Better, Smarter Agents Reasoning with the Best Data Context
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.