Our simulation technology combines on-road data with synthetic augmentation to enhance realism and scenario coverage. Utilizing smart agents and advanced reconstruction techniques, we can inject faults and measure latency, answering critical “what if” situations.

Our Data Loop continuously enhances our AI-first autonomy stack by efficiently utilizing collected data. With comprehensive tools tailored for autonomy engineers, our scalable, reliable infrastructure supports large-scale simulations and manages hundreds of petabytes of log data. Additionally, our robust security measures protect against cybersecurity threats through careful design and testing.

Our Evaluation and Analytics Tooling generates valuable insights for iteration using on-road and simulation logs. With over 2000 user-configurable metrics from autonomy, we offer large-scale, cost-effective metrics computation.

Our L4 driverless releases undergo extensive testing across 40 validation categories before public road approval. After clearance, any changes follow strict control, risk assessment, and further V&V. We monitor daily performance and safety, with our Safety Committee reviewing outcomes to ensure top safety and reliability standards.

Our granular visualization and inspection tools, featuring context slicing, ensure detailed analysis and precise improvements to our autonomous systems. We host a full suite of plugins for specific engineering teams and tools to easily generate video to review on-road and simulated logs.

We ensure the safety and reliability of our autonomous vehicles through rigorous simulation, track testing in Southern Nevada, and real-world trials. Simulations use real data to improve performance, while trained safety operators validate systems before public deployment. This thorough approach ensures our vehicles are safe for public roads.