Conversational Autonomy Meets High-Speed Racing
Maveric AI is the human-centered conversational interface developed by Code19 Racing—the world’s first professional autonomous motorsports team. It’s designed to translate high-speed decisioning and sensor data from autonomous vehicles into clear, trustable human language, especially in high-stakes, real-time environments.
Why Racing Matters — The Track as the Ultimate Lab
Code19 competes in elite autonomous motorsports, using the Abu Dhabi Autonomous Racing League (A2RL) to validate autonomy under extreme conditions.
The track pushes perception, planning, control, sensor fusion, and decision logic to the limit—providing real-world stress testing for autonomy systems.
Maveric AI is the interface that lets humans “see inside” those high-speed decisions: why the car overtook, when it braked, how it responded to others.
Code19’s racecar, powered by Maveric AI and its AIPEX autonomy stack, is a proving ground for next-gen systems in defense, robotics, and mobility.
Core Capabilities
| Feature | What It Does |
|---|---|
| Voice-First Narration | Translates live telemetry, decision logs, and sensor data into natural language commentary. |
| Contextual Explanation | Provides causal context (why a maneuver occurred), predictions (what’s next), and alerts if anomalies emerge. |
| Cognitive Load Reduction | Filters noise to deliver only meaningful insights—critical in racing or mission scenarios. |
| Real-Time Trust Interface | Helps engineers, operators, and stakeholders understand autonomous behavior as it happens. |
| SDK / Integration Layer | Designed to plug into autonomy stacks (e.g. AIPEX) and extend into new domains beyond racing. |
| High-Fidelity Validation | Backed by the extreme conditions of autonomous racing, where subtleties in behavior matter. |
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