One Stack Across Land, Air, and Sea
Deploy intelligent machines anywhere in the world with autonomy that’s built for every domain.
Applied Intuition’s Self-Driving System (SDS) is designed to operate across domains, combining domain-specific sensing, compute, and control architectures for land, air, and sea. It supports missions on highways and city streets, in mines and farms, and in complex operational environments where safety and reliability are critical.
Real-world deployments power the system’s continuous learning. A global fleet of vehicles, trucks, mining machines, and other hardware operates across diverse environments, collecting petabytes of sensor data that fuel a compounding data flywheel. This foundation enables autonomy systems that adapt to new conditions and scale across industries. The result is a product that allows any OEM to deploy machines anywhere in the world.
Designed for People and Built for Safety
Operators stay in control while data-driven validation ensures safe and responsible autonomy.
Autonomy works best when it is designed around the people who rely on it. Applied Intuition’s SDS stack supports everything from partial driver assistance in passenger vehicles to fully driverless systems in mines and on the battlefield. On a basic level, this enables passenger and commercial vehicles to operate more safely, efficiently, and comfortably. On the complex side, operators can monitor and manage fleets of autonomous agents with confidence, maintaining visibility and control as systems scale.
Safety is embedded throughout the entire autonomy stack. A data-driven approach combines metrics-based validation, simulation, and large-scale data curation to ensure comprehensive coverage of real-world edge cases. Compliance with regulatory standards, fault-tolerant architectures, and redundant sensing systems create resilient autonomy systems designed to perform reliably in complex environments.
Coordinate Autonomous Fleets at Global Scale
Deploy, monitor, and manage fleets of intelligent machines operating together in the real world.
Autonomy becomes exponentially more powerful when machines operate together, under their own direction. Applied Intuition’s SDS enables organizations to deploy and manage large fleets of autonomous vehicles and machines across factories, farms, roads, and complex operational environments.
Operators can coordinate these machines performing tasks in parallel, from logistics and infrastructure to industrial operations and defense missions. Real-world activity across these fleets continuously generates data that feeds a compounding data flywheel, transforming real-world events into training datasets, operational insights, and ongoing improvements to system performance. The result is autonomy that scales beyond individual machines to orchestrate entire fleets working together.
