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

The United States Government is seeking artificial intelligence and machine learning services to support the next generation of missile detection, warning, tracking, and reporting. The agency needs to develop and validate advanced data processing techniques, specifically focusing on artificial intelligence and machine learning solutions for both ground-based and satellite-based multi-sensor fusion. These solutions must be capable of real-time processing for advanced Overhead Persistent Infrared missile detection, warning, tracking, and reporting. The project aims to solve the problem of detecting, tracking, and reporting advanced missile threats by leveraging novel algorithms for target identification, data association, and real-time three-dimensional tracking across multi-orbit platforms. Initial efforts must focus on feasibility studies and technical proof-of-concept demonstrations. The ultimate goal of the agency is to transition this capability into the Overhead Persistent Infrared Tap Lab or a similar testbed to build and test solutions in an operationally relevant environment. Eligibility is strictly limited to onshore organizations based in the United States. The agency requires the performance of the work to be conducted offsite. The agency is currently looking for proposals to determine the budget, and no specific key dates or evaluation criteria are provided in the sourcing details.