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§ Private Profile · Cambridge, MA, USA
Tamr is a technology company.
Tamr provides an AI-native master data management (MDM) solution, unifying and enriching disparate enterprise data. Its platform leverages machine learning and patented artificial intelligence to automate consolidating complex data silos. This transforms raw datasets into clean, trusted, actionable information, ensuring data quality for analytics and generative AI.
Tamr was founded in 2013 by Michael Stonebraker, Andy Palmer, Ihab Francis Ilyas, and Daniel Bruckner. It originated from Stonebraker's research at MIT's Computer Science and Artificial Intelligence Laboratory. Their insight: automated, machine learning-driven data mastering addressed manual method limitations for vast enterprise data.
Enterprises utilize Tamr's platform to streamline data operations and leverage assets for strategic advantage. The solution empowers organizations to enhance business intelligence and operational efficiency through unified, high-quality data. Tamr’s vision is to enable enterprises to harness data for comprehensive analysis and informed decision-making.
Tamr has raised $69.0M across 4 funding rounds.
Tamr has raised $69.0M in total across 4 funding rounds.
Tamr has raised $69.0M across 4 funding rounds. Most recently, it raised $10.0M Other Equity in September 2018.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 18, 2018 | $10M Venture Round | Granite Hill Capital Partners, John Mcclellan | — | Announced |
| Jul 1, 2018 | $18M Series B | — | Andreessen Horowitz, Ignition Partners, March Capital, Next47, Alumni Ventures, Fenox Venture Capital, GV, Intage, NEA, Samsung Ventures, Yoshitaka Kitao | Announced |
| Jun 1, 2015 | $25M Series B | — | Balderton Capital, Builders VC, Insight Partners, Madrona Venture Group, Pioneer Square Labs, Work Bench, Roger Ehrenberg, Shivon Zilis, Andrew McCollum, GV, LAK Ananth, Mark Goodman, NEA, Graham Cousins | Announced |
| May 1, 2014 | $16M Series A | Rich Miner, Peter Barris | Balderton Capital, Insight Partners, Roger Ehrenberg | Announced |
Tamr is an AI-native master data management (MDM) company that builds a cloud-native SaaS platform to unify, clean, and enrich fragmented data across silos, creating golden records for trusted decision-making, AI initiatives, revenue growth, and customer experiences.[1][2][3] It serves enterprises in sectors like healthcare, finance, retail, and supply chain, solving the problem of slow, error-prone traditional MDM by delivering accurate data in days via patented AI combined with human oversight.[1][2][4] Tamr's growth momentum includes 22 patents in machine learning and data management, recognition as a Challenger alongside Snowflake and Oracle, and new AI-powered features like semantic search.[2][6]
Tamr originated from research at MIT and was founded in 2013 in Cambridge, Massachusetts, initially as DataTamer before rebranding.[2][3] While specific founders are not detailed in available sources, the company emerged to address limitations of rules-based MDM systems unable to handle complex, changing datasets, leveraging patented AI and machine learning born from academic innovation.[1][3][6] Early traction came from its unique approach uniting machine learning with human feedback, positioning it as a pioneer in scalable data mastering and earning industry accolades.[2]
Tamr rides the generative AI and data foundation trend, where high-quality master data is essential for effective AI automation, as fragmented data undermines models and decisions.[1][3] Timing is ideal amid exploding data volumes and AI adoption, with market forces like regulatory compliance and real-time analytics favoring agile MDM over legacy systems.[2][5] It influences the ecosystem by enabling industries to accelerate AI initiatives, boost efficiency, and compete—positioned as a leader against giants like Snowflake and Oracle in a growing MDM market.[2][6]
Tamr is poised to expand as AI-native MDM demand surges, with upcoming focuses on enhanced AI agents, semantic tools, and ecosystem integrations to dominate data unification for enterprise AI.[2][6] Trends like real-time data governance and multimodal AI will shape its path, potentially amplifying influence through partnerships and further patents. As the pioneer turning messy data into AI fuel, Tamr solidifies its role in delivering the trusted foundation every business needs.
Tamr has raised $69.0M in total across 4 funding rounds.
Tamr's investors include Granite Hill Capital Partners, John McClellan, Andreessen Horowitz, Ignition Partners, March Capital, Next47, Alumni Ventures, Fenox Venture Capital, Google Ventures, INTAGE, NEA, Samsung Ventures.