Radiant Solutions, a Maxar Technologies company based in Herndon, VA announced on October 18 a $92 million contract award on a Small Business Innovation Research (SBIR) Phase III contract with the National Geospatial- Intelligence Agency (NGA) to rapidly develop, prototype, and deploy machine learning and crowdsourcing capabilities to augment a wide variety of NGA missions. NGA exercised the 2019 contract option year and expanded the value over a three year period of performance.
The SBIR Phase III program incents commercial firms to apply innovative solutions to pressing national security problems. As outlined in NGA’s recently updated commercial GEOINT strategy, the agency is employing a variety of contracting methods to leverage commercial automation capabilities to augment conventional analysis, giving analysts more time to focus on more challenging, mission-critical problems.
Through SBIR Phase III awards, the U.S. government can fund logical extensions of SBIR Data and receive a royalty-free license to that technology while protecting commercial industry’s ability to make these offerings available to the global marketplace. Radiant Solutions participates in the SBIR Phase III program through its ongoing investment in Signature Analyst™, a predictive modeling engine that applies machine learning to massive amounts of geospatial data to help analysts quickly search broad geographic areas. Since 2006, Radiant Solutions and its subsidiary companies have been awarded eight SBIR Phase III contracts across multiple agencies.
Radiant Solutions will advance development of machine learning capabilities, such as its DeepCore Computer Vision SDK and crowdsourcing capabilities, such as Tomnod, to help analysts quickly process large volumes of remote sensing data, understand global patterns of life and enable broad area search. The award also expands support for the NSG Open Mapping Enclave (NOME), a volunteered geographic information operational prototype that enables trusted users on multiple domains to easily create or modify foundation GEOINT to create living maps and enable timely analysis. These capabilities will be available for broad use across the U.S. Government and its global mission partners.
“We are excited to expand our SBIR Phase III partnership with NGA and apply commercial innovation in machine learning and crowdsourcing to difficult national security problems,” said Tony Frazier, president of Radiant Solutions. “We are fully committed to helping the NGA harness the massive potential of Commercial GEOINT to reveal insights where and when it matters to build a better world.”
Source: Maxar Technologies
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