DEFCON AI Awarded $1.2 Million Contract
DEFCON AI today announced that it was awarded a Department of the Air Force Small Business Innovation Research (SBIR) contract through AFWERX/Agility Prime to support the continued development of its operational-level logistics training software. The award, formally received through DEFCON AI’s incubator, Red Cell Partners, advances DEFCON AI’s near-term capabilities, which are being developed for deployment to the Air Force’s Air Mobility Command (AMC), a US Air Force major command and component of U.S. Transportation Command.
DEFCON AI is building a training and rehearsal software platform containing a modeling and simulation environment that leverages cutting-edge technology to create a digital replica of AMC’s operational logistics network to support training and mission planning in the event of a disruption. The platform is being built to aid in managing complex supply chains and mobility network disruptions caused by natural disasters or manipulation by capable adversaries.
“We have seen the effects of the COVID-19 pandemic and Russia’s invasion of Ukraine on global supply chains—supplies have not made it to their destination by the time they were needed—these types of impacts can also occur within AMC’s network,” said Gen. Paul Selva, USAF (Ret.), former vice chairman of the Joint Chiefs of Staff and DEFCON AI’s co-founder and chief strategy officer. “We must expect that our future adversaries will explicitly prevent the buildup of regional forces and will use direct and indirect means to disrupt U.S. deployment and sustainment operations. Understanding that these future events may arise, it is essential that we build and have mechanisms in place to prepare for such scenarios.”
The DEFCON AI software is being designed to enable AMC operational-level planners to see the downstream effects of decisions within a simulated mobility network. Planners will be able to compare different courses of action and replay scenarios, such that lessons learned could be adapted and used in the event of a real-world disruption or in contested environments.
