Scout AI today publicly showcased for the first time its Fury Autonomous Vehicle Orchestrator running a heterogeneous fleet of autonomous air and ground systems from natural language mission intent Watch the full demo now ⬇️

Filmed during live operations in Central California, the demo captures the Fury foundation model translating a commander’s high-level objective into coordinated actions across an unmanned ground vehicle and multiple unmanned aerial systems The demo was executed on real hardware, in mission-relevant terrain, without scripted control, CGI, or manual operating

The commander provides mission intent through Scout AI’s C2 interface. From there, Fury builds the mission plan and submits it to the commander for approval before executing It then tasks each asset in natural language and monitors mission progress, adjusting the plan as the situation changes. It coordinates the ground vehicle and drones, manages timing and priorities, and completes the mission with a BDA Fury Orchestrator also enforces fleet-level constraints, including timing, priorities, mission phasing, and operational authorities, issuing updated intent to ensure autonomous systems remain aligned with commander objectives

Throughout the mission, Fury Orchestrator continuously fuses telemetry, video feeds, and C2 data to maintain a live common operational picture When one aerial asset identifies the target vehicle, Fury redirects supporting systems in real time, adjusts tasking, and autonomously sequences follow-on actions, all while keeping a human operator in the loop for supervision