Retrofittable autonomy for existing military platforms — enabling driverless operation and remote control without replacing the vehicle.
S.A.I.D. addresses one of the most pressing challenges in modern ground operations: the growing need to remove personnel from high-risk environments without retiring existing vehicle fleets.
Rather than requiring new platforms, S.A.I.D. integrates directly into existing military vehicles — equipping them with the intelligence to navigate autonomously or be controlled remotely. Deep learning allows S.A.I.D. to interpret complex terrain and operational context, not just follow predefined routes.
S.A.I.D. algorithms run directly on the vehicle — processing sensor data in real time to navigate terrain, avoid obstacles, and execute mission routes without a driver.
The processing stack is modular and can be integrated fully or partially into existing vehicle architectures, with minimal hardware modifications required.
The S.A.I.D. ground station provides operators with full remote control over individual vehicles or entire convoys — with real-time telemetry, video feeds, and mission status across all assets.
Operational data is continuously collected between missions and used to refine autonomous behavior — enabling a positive cycle of improvement over time.
S.A.I.D. is designed to integrate with a broad range of existing military platforms — ground and rotary.