AI/ML for Next Generation of Missile Detection, Warning, Tracking, and Reporting

This contract aims to advance artificial intelligence and machine learning technologies to enhance the U.S. Space Force’s missile warning, tracking, and response capabilities by enabling real-time, multi-sensor fusion across low Earth, medium Earth, and geosynchronous orbits. The initiative targets critical gaps in current systems that struggle with processing vast, heterogeneous data streams from diverse sensing platforms, especially when detecting and tracking hypersonic and maneuverable missile threats. The focus is on developing novel AI/ML algorithms for target identification, data association, and three-dimensional tracking that operate efficiently on both ground and satellite-based systems, reducing latency and improving situational awareness. The goal is to create feasible prototypes and technical demonstrations that can be transitioned into the OPIR Tap Lab or equivalent operational test environments to validate performance under realistic conditions. The solicitation is designated as a Total Small Business Set-Aside under the SBIR/STTR program, restricted to firms with fewer than 500 employees, reflecting a commitment to fostering innovation from small businesses. It was posted on July 1, 2026, with a response deadline of July 22, 2026, and is managed by the Department of Defense through the United States Air Force. While specific location details are not provided, the performance location is expected to support testing and integration within the operational missile defense architecture. Success in this effort will directly contribute to the Space Force’s mission of maintaining persistent global surveillance, accelerating defensive decision-making, and ensuring long-term space superiority through next-generation detection and tracking capabilities.