April 19, 2022
McLean, VA – Booz Allen Hamilton (NYSE: BAH) announced it made a strategic investment in Reveal Technology, Inc., a visual analytics and edge artificial intelligence (AI) company.
Blending state-of-the-art computer vision, AI, and edge computing technologies, Reveal delivers intuitive, rapid intelligence at the austere tactical edge where power, compute, and bandwidth are often in short supply. The company’s Farsight software platform provides special operators and squads in high-risk environments with actionable intelligence, surveillance and reconnaissance (ISR) capabilities at the unit level—without the need for network connectivity and on timelines measured in minutes and seconds, not hours and days.
Farsight’s AI-powered insights and decision aids—including real-time 2D mapping, near-real-time-3D mapping, line of sight analysis, and route planning—reduce the cognitive burden on troops and enable faster, better decisions and response. This technology adds critical capabilities to Booz Allen’s Digital Battlespace platform. Digital Battlespace supports the firm’s global defense clients in an information-driven, fully integrated conflict space across all warfighting domains and where success depends on critical networks—communications; intelligence; positioning, navigation, and timing; and equipment—working together even in communications-challenged, denied, or degraded environments.
“Reveal has developed solutions that increase situational awareness and accelerate the decision cycle for dismounted warfighters. Their technology provides rapid, actionable intelligence at the squad and soldier levels while answering the government’s call for speeding the delivery of applied and tactical AI to the battlefield, said Joel Dillon, Booz Allen senior vice president of digital battlespace special missions. “It’s a gamechanger—and something I wish I had when I was in combat.”
Booz Allen is committed to investing in strategic, defense-first, dual-use technologies that help speed up the adoption of advanced commercial technologies for public sector missions. Beyond special operations, there is future potential to apply Reveal’s technology to such mission-critical use cases as natural disaster response, public safety crises, maritime search and rescue, and more.
“Since 2015, Booz Allen has been scouting dual-use capabilities in emerging tech including across all areas of AI and machine learning (ML) to the edge. Because of where we are placed in the innovation ecosystem we are uniquely positioned to help the government find, vet, access and field these emerging technologies to deliver impact faster to important programs of record,” said Brian MacCarthy, Booz Allen vice president of tech scouting and ventures. “By investing in leading-edge companies like Reveal, we are bringing ML and AI to the edge—capabilities that are central to prevailing in the digital battlespace.”
Founded in 2018, Reveal is a company of elite combat veterans, special operators, and top-tier technologists who truly understand the mission and the challenges of combat.
“Reveal has earned its position as the industry’s leading edge geospatial intelligence technology. Farsight is specifically designed to meet tactical operators’ critical needs by delivering applied AI and rapid situational awareness through best-in-class 3D map creation, automated video and imagery exploitation, and sensor- and platform-agnostic edge data processing. The result is faster, better and safer decision-making for warfighters at the tactical edge. It’s the key for the future of human-machine teaming,” said Garrett Smith, Reveal Technology co-founder and CEO.
As the largest provider of AI services for the federal government, Booz Allen delivers some of the most advanced AI, ML and data architecture technologies, services and strategies through its work with the Joint AI Center, Army Futures Command and U.S. Air Force Air Combat Command, among others.
Learn more about Booz Allen’s Digital Battlespace platform at https://www.boozallen.com/markets/defense/digital-battlespace.html
