.svg)
Shield AI delivers comprehensive autonomy solutions for defense applications through its Hivemind platform. The company builds AI pilots and autonomous systems designed to operate in contested and degraded environments where communications may be lost and manual control becomes unreliable. The technology enables intelligent machines to function independently while maintaining mission effectiveness.
The Hivemind Enterprise platform provides developers with tools to rapidly create, test, and deploy mission autonomy. Development cycles that previously required years are reduced to weeks, transforming software engineers into autonomy specialists. The platform is modular, extensible, and scalable, allowing deployment across multiple machines and domains while enabling sovereign development where customers retain full intellectual property rights.
EdgeOS serves as the runtime environment delivering low-latency performance and extensibility across diverse compute environments. Pilot provides a catalog of pre-built autonomous behaviors including state estimation, multi-agent teaming, mapping, sensing, object tracking, task planning, behavior planning, and motion planning. Forge offers unified tools for designing, testing, and analyzing autonomous systems. Commander enables integration with any command and control system through backend translation services.
Shield AI manufactures autonomous aircraft including the X-BAT AI-piloted VTOL fighter jet and the V-BAT platform for intelligence, surveillance, and reconnaissance operations. The company provides ViDAR hardware and software packages for surveillance across air, land, and sea. Tracker software delivers AI-powered object detection capabilities, while Tracker C-UAS transforms cameras into counter-unmanned aircraft systems.
The technology has been validated through partnerships with defense organizations and aerospace manufacturers. Autonomous flight demonstrations include tactical maneuvers on the X-62 VISTA aircraft, operations on the MQ-20 Avenger using government reference architecture interfaces, and dual-ship autonomy tests with Firejet drones. These deployments demonstrate mission autonomy capabilities in real operational environments.
- Develop autonomous flight systems for military aircraft and unmanned aerial vehicles
- Deploy AI pilots for tactical maneuvers in contested electronic warfare environments
- Integrate autonomous systems with existing command and control platforms
- Build multi-agent teaming behaviors for coordinated drone operations
- Create intelligence, surveillance, and reconnaissance missions with autonomous aircraft
- Implement object detection and tracking in video feeds from surveillance systems
- Design autonomous behavior planning for complex mission scenarios
- Test and evaluate autonomous system performance in simulated environments
- Transform electro-optical and infrared cameras into counter-drone systems
- Deploy autonomous vertical takeoff and landing fighter jet operations
- Develop state estimation and mapping capabilities for edge-deployed robots
- Analyze post-flight mission data for autonomous aircraft debriefing
