Updates, milestones, and links shared by Code19 Racing.
Born from our own engineers’ need for a better human-machine interface, Code19 Racing developed the first prototype of Maveric AI—an active, voice-forward agent built to narrate autonomy in real time. Designed to reduce cognitive load and improve trust during autonomous operations, Maveric AI transforms live telemetry and autonomy decision data into natural language explanations and real-time insights. We publicly showcased the prototype at our Circuit of the Americas (COTA) AI Summit to the Army Applications Lab, marking its first live demo and setting the stage for future defense and dual-use deployments.
Code19 Racing entered a non-exclusive partnership alliance with Booz Allen Hamilton, the nation’s leading defense AI integrator, to accelerate the deployment of agentic AI across mission-critical domains. This partnership connects our high-performance autonomy lab with Booz Allen’s deep expertise in AI-enabled defense systems. Together, we’re advancing MavAI autonomous platforms—from the track to the tactical edge—building trust, transparency, and decision superiority into the next generation of warfighter-AI teaming.
Code19 Racing has entered into a Collaborative Research and Development Agreement (CRADA) with the U.S. Navy to advance trusted autonomy at the tactical edge. The project focuses on integrating electromagnetic spectrum (EMS) sensor data into the high-level planner of our autonomy stack, enabling intelligent decision-making in contested environments. Maveric AI will serve as the human-machine interface, providing real-time transparency into system behavior. This collaboration supports scalable, explainable AI for maritime missions where speed, trust, and adaptability are mission-critical.
Code19 Racing was selected to represent the United States at the Abu Dhabi Autonomous Racing League (A2RL), the world’s top autonomous motorsport event held at Yas Marina Circuit. We competed against global teams—including China—and delivered a strong performance, outperforming China in head-to-head competition. While we didn’t take the overall win, the event validated our high-speed Modular Autonomy Software Stack (MASS) through testing under extreme conditions. No driver, no teleop,