Chariot is a core component of the Army's Next Generation Command and Control (NGC2) software, which commanders are scaling up after successful tests. The platform uses AI agents to ingest data from radios, reports, sensors and drones, then assess whether objects are military vehicles or tanks, check them against legal standards and commander priorities, and recommend next steps.
"It does everything that a team of four to 10 individuals would do over a period of about an hour; it compresses that down into minutes," Striveworks CEO and cofounder Jim Rebesco told Business Insider. He said soldiers across specialties - logistics, artillery and others - have been using the system for different tasks.
Soldiers at the Army's 4th Infantry Division used Chariot during the Project Convergence Capstone 6 exercise at Fort Irwin, California, where it helped analysts process more potential targets than normal. Rebesco said feedback from those exercises was quickly incorporated to improve accuracy and speed.
After Project Convergence, the Army decided to push NGC2 to I Corps at Joint Base Lewis-McChord in Washington state. Next steps include making the technology available to more soldiers and hardening it for harsh, dispersed environments, especially in the Indo-Pacific.
Chariot also integrates with other military systems such as Maven and the Integrated Battle Command System. The Pentagon and military services are spending billions on AI to speed decisions, analyse sensor data and predict shortages. Former Army secretary Dan Driscoll said after the July exercise: "The side that can sense a target, process the data, and deliver a kinetic effect the fastest wins."
