Kodiak AI (KDK) investor relations material

Company overview and deployment status

• Focuses on AI-driven self-driving technology for commercial, industrial, and defense markets, with 10 driverless trucks deployed as of Q3, operating 24/7 without human or remote monitoring.

• Trucks are customer-owned, running primarily on private roads in Texas, with plans to expand to over-the-road driverless solutions by the second half of 2026.

• Revenue is currently modest but growing, with guidance to increase vehicle deployments to the mid- to high-teens and a scalable manufacturing partnership in place.

• The company has secured key supply chain partners, including Bosch, to enable global scaling of its modular self-driving system.

Technology and safety approach

• Utilizes a multi-modal sensor suite (LiDAR, radar, cameras) and extensive system redundancy (sensors, compute, steering, braking, power) to maximize safety.

• Employs over 20 parallel AI pathways for sensor fusion and decision-making, building consensus and validating outputs to address the 'black box' challenge.

• Modular SensorPod solution allows deployment across various vehicle types, including trucks and military vehicles.

• Does not rely on high-definition maps, instead using an AI-centric approach for flexibility and rapid integration of new algorithms.

Operational learnings and customer integration

• Real-world deployment in the Permian Basin has driven product maturity, focusing on seamless user experience and operational efficiency.

• Key learnings include the need for intuitive interfaces and robust training for end users at depots and sites.

• The company’s experience with Atlas and other partners is seen as a competitive advantage, enabling faster scaling in the long-haul market.

• Customers are already dispatching self-driving vehicles and are eager for fully driverless operations to realize economic benefits.