Tamr Inc. of Boston, MA announced on May 8 a strategic partnership agreement with In-Q-Tel (IQT), the not-for-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to the U.S. intelligence and defense agencies that keep our nation safe. The IQT partnership will enable further development and deployment of Tamr Unify, the company’s patented enterprise data unification software system.
Unify was initially conceived by Turing Award winner Dr. Michael Stonebraker and his fellow co-inventors who published their research about the Data Tamer System for tackling large scale data curation challenges in early 2013. Tamr commercialized the research with initial funding from founding investors NEA and GV. Subsequent funding from investment arms of several Tamr customers, including GE, Thomson Reuters, MassMutual, Samsung, and others, is driving rapid growth and enabling Tamr to help large enterprises tackle previously unsolvable data problems.
“Tamr’s use of machine learning to tackle complex data unification challenges represents a new way to solve long-standing problems that traditional rules-based approaches struggle to address effectively,” said A.J. Bertone, principal, Investments at IQT. “The U.S. intelligence and defense communities arguably face the most complicated and challenging data environments in the world, and we see Tamr as an essential capability to delivering better insights from data while also enabling improved data sharing across the community.”
“Tamr’s strategic partnership with IQT is an important milestone in our rapidly growing public sector business,” said Toffer Winslow, chief business officer at Tamr. “When it comes to accelerating digital transformation initiatives, the underlying data challenges faced by the U.S. government are similar to those we have been helping our private sector customers meet for several years. We are proud to support IQT’s mission to deploy the latest, most advanced technology to protect and preserve national security.”
Source: Tamr
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