AI/ML Model Development for Threat Response

The contract seeks the development of AI and machine learning models designed to enhance threat detection, tracking, and engagement decision-making, with a focus on providing actionable shot solutions and operational recommendations. These models must be optimized for deployment on edge hardware, ensuring low-latency performance critical for real-time tactical applications. The system must operate efficiently under resource-constrained conditions without compromising accuracy or responsiveness, making robust algorithm design and hardware integration central to the project’s success. This is a subcontract under the Department of Defense, specifically managed by W6J1 Rccto Redstone, with the NAICS code 541715 indicating it falls under research and development in the physical, engineering, and life sciences. The opportunity was posted on July 2, 2026, and proposals are due by July 15, 2026. While the place of performance and point of contact details are not specified, the emphasis on edge deployment suggests the solution must be field-ready and capable of operating in austere environments. The project underscores the Defense Department’s priority on integrating AI into time-sensitive, mission-critical threat response systems.