In-Q-Tel, Tamr Partner to Develop Machine Learning-Based Data Unification Software

In-Q-Tel and Tamr have formed a strategic partnership that seeks to help government agencies address data unification challenges with the use of a machine learning-based technology.

IQT said Wednesday it will help the company further develop and field its patented enterprise software platform Tamr Unify, which uses machine learning and human expertise to unify data across multiple silos to generate insights.

“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 of 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,” Bertone added.

A team led by Turing Award winner Michael Stonebraker and Andy Palmer, founding CEO of Vertica, founded TamR, which is supported by several investors including NEA and Google. The Customs and Border Protection adopted the Tamr platform, which was developed as part of the Silicon Valley Innovation Program.