CACI to Provide NGA with Advanced Artificial Intelligence and Machine Learning Tools
CACI International Inc (NYSE: CACI) announced today that it has been awarded a five-year, single-award indefinite delivery/indefinite quantity contract, with a ceiling value of $376 million, by the National Geospatial-Intelligence Agency (NGA) to provide mission technology in support of critical geospatial intelligence (GEOINT) missions.
Under the contract, which is new work for the company, CACI will help improve and sustain a framework for organizing and sharing geospatial intelligence data and enhance these capabilities with artificial intelligence and machine learning tools. CACI will develop and deploy a processing and integration platform that will enable NGA and its partners to assess, train, and field algorithms into the production framework. The company will also help enable production capabilities to access, discover, and consume the generated data, including space-based images, and further develop data management capabilities.
John Mengucci, CACI President and Chief Executive Officer, said, “CACI is proud to bring our strength in artificial intelligence and proven mission technology to NGA to enable actionable intelligence for their critical national security missions.”
CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World’s Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.
There are statements made herein which do not address historical facts, and therefore could be interpreted to be forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such statements are subject to factors that could cause actual results to differ materially from anticipated results. The factors that could cause actual results to differ materially from those anticipated include, but are not limited to, the risk factors set forth in CACI’s Annual Report on Form 10-K for the fiscal year ended June 30, 2020, and other such filings that CACI makes with the Securities and Exchange Commission from time to time. Any forward-looking statements should not be unduly relied upon and only speak as of the date hereof.