Game-Theoretic Artificial Intelligence Service

The United States Department of Defense, acting through its issuing agency, requires a mature, scalable, and robust game-theoretic Artificial Intelligence engine. The agency is trying to solve the problem of generating and executing novel, optimized courses of action in complex, multi-domain, imperfect-information wargaming environments. The goal is to field a capability that consistently outperforms expert human planners and provides decision-makers with a significant strategic advantage in planning, doctrine development, and operational analysis. The scope of work covers developing an architecture capable of scaling from tactical engagements, such as individual flight combat, to operational-level scenarios involving thousands of assets across air, sea, and land domains over extended time horizons. The agency requires the solution to operate effectively on modest computational footprints, specifically single or small-cluster CPU-based workstations. This computational efficiency must avoid reliance on cost-prohibitive, large-scale GPU clusters for core training and inference loops. Only onshore organizations based in the United States are eligible to participate in this procurement. The agency permits the selected contractor to perform all work offsite. The agency is currently looking for proposals to establish the budget and has not disclosed specific key dates or evaluation criteria in the initial solicitation details.