About
Shield AI is a defense technology company building AI-powered autonomous systems designed to protect service members and civilians. At the core of its offering is Hivemind, an enterprise autonomy platform that allows military drones, VTOL aircraft, and other unmanned systems to operate without GPS, communications, or a human pilot in contested environments. The Hivemind suite includes EdgeOS (a runtime environment for onboard AI), the Pilot autonomy catalog, Forge (an autonomy factory for development and testing), and Commander (a command and control toolkit). Supporting software products include Benchmark for post-flight data evaluation and scoring, ViDAR for all-weather surveillance across air, land, and sea, and Tracker for AI-powered object detection in EO/IR video streams — including a C-UAS variant to detect and track hostile drones. On the hardware side, Shield AI produces the V-BAT (a VTOL UAS designed for ISR and electronic warfare) and the X-BAT, the world's first AI-piloted VTOL fighter jet. Shield AI's Hivemind has been demonstrated on platforms including the X-62 VISTA and the MQ-20 Avenger, performing tactical maneuvers against human pilots and operating in multi-ship autonomous formations. Shield AI serves defense agencies, prime contractors, and allied militaries seeking to integrate resilient autonomy into existing or new platforms. The platform is built for enterprise deployment with professional engineering support from Shield AI's in-house team.
Key Features
- Hivemind Autonomy Platform: A comprehensive AI-powered platform for developing, evaluating, testing, and deploying mission autonomy on drones and aircraft — even without GPS or communications.
- ViDAR Surveillance System: A hardware and software package providing unrivaled day/night surveillance and detection capability across air, land, and sea environments.
- AI Object Detection (Tracker & Tracker C-UAS): AI-powered software that turns standard EO/IR cameras into intelligent tracking systems, including a dedicated counter-UAS mode to identify and track hostile drones.
- EdgeOS & Pilot Runtime: An onboard runtime environment paired with an autonomy catalog that executes AI pilot behaviors in real time on unmanned platforms.
- Benchmark Post-Flight Analytics: Post-flight debrief tooling that evaluates, scores, and visualizes mission-critical flight data to improve autonomy performance over time.
Use Cases
- Autonomous ISR (intelligence, surveillance, and reconnaissance) missions in GPS-denied or communication-degraded environments using V-BAT or Hivemind-powered UAS
- Counter-UAS operations: detecting and tracking hostile drones using Tracker C-UAS software on existing EO/IR camera infrastructure
- Autonomous multi-ship drone teaming exercises where AI pilots coordinate maneuvers without human intervention
- Post-mission data analysis and scoring using Benchmark to evaluate and improve autonomy performance across flight operations
- Integrating Hivemind's A-GRA-compliant autonomy stack into prime contractor or government-owned unmanned platforms
Pros
- Proven in Real-World Defense Operations: Hivemind has been demonstrated on high-profile platforms including the X-62 VISTA and MQ-20 Avenger in live flight operations against human pilots.
- Full-Stack Autonomy Ecosystem: Covers the entire autonomy lifecycle — development tools, runtime, surveillance sensors, C2 toolkit, and post-flight analytics — in one integrated enterprise platform.
- Resilient in Contested Environments: Designed specifically to operate when GPS is denied and communications are degraded, filling the critical gap where manual control fails.
Cons
- Enterprise/Government Sales Only: Shield AI does not offer self-serve access; procurement requires direct engagement via sales and is limited to defense-qualified organizations.
- Highly Specialized Use Case: The platform is purpose-built for military and defense applications, making it inaccessible or irrelevant for commercial or civilian use cases.
- Limited Public Pricing Transparency: All pricing is negotiated through enterprise contracts, with no publicly available tiers or cost information.
Frequently Asked Questions
Hivemind is Shield AI's flagship AI autonomy platform that allows unmanned aircraft and drones to fly and complete missions without GPS, communications links, or a remote human pilot.
Hivemind has been deployed on multiple platforms including the V-BAT drone, X-BAT VTOL jet, X-62 VISTA, MQ-20 Avenger, and Kratos MQM-178 Firejet, with support for additional platforms through its extensible EdgeOS runtime.
ViDAR is Shield AI's hardware and software surveillance package that provides wide-area detection and tracking capability across air, land, and sea — day or night and in challenging conditions.
Tracker C-UAS is a software-only solution that transforms existing EO/IR cameras into drone-detection systems, reducing the need for dedicated counter-UAS hardware in many scenarios.
Shield AI provides in-house engineering teams that work alongside customers for rapid deployment, platform adaptation, and mission tuning — rather than leaving customers to integrate alone.
