Autonomous & Digital Test & Evaluation Methods

The contract seeks the development of advanced AI-driven, autonomous, and digital methodologies for test and evaluation of hypersonic systems, with a primary focus on reducing cost, duration, and uncertainty associated with traditional testing approaches. Efforts must include the creation and integration of digital twins and high-fidelity simulation tools capable of replicating real-world hypersonic environments and performance metrics, enabling virtual validation and iterative design refinement without reliance on expensive physical prototypes. The work is expected to leverage artificial intelligence to automate decision-making, data analysis, and test execution, fundamentally transforming how hypersonic technologies are assessed and matured. This subcontract, issued under NAICS code 541715 by the Defense Advanced Research Projects Agency within the Department of Defense, is open for proposal until October 6, 2026. While no specific place of performance or point of contact is provided, the project demands technical innovation in computational modeling, autonomous systems, and digital engineering to address national defense challenges related to hypersonic capabilities. Successful proposers must demonstrate expertise in AI-driven simulation, digital twin architecture, and defense-relevant test and evaluation frameworks to deliver scalable, reproducible, and cost-efficient solutions aligned with operational requirements.