Shield AI is an Autonomous Aviation company founded in 2015 and based in San Diego, United States. It has raised $3.6B in total funding, most recently a Series G in 2026 at a $12.7B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Mar 6, 2025 | Series F | $240M | $5.3B | L3Harris, Hanwha Asset Management |
AI autonomy software that assumes the role of a human pilot, enabling unmanned defense systems to sense, decide, and act. Unlike traditional autopilots that simply follow preplanned routes, Hivemind can reroute around no-fly zones, avoid or engage obstacles, respond to unexpected conditions, and complete missions safely without human intervention. In continuous combat deployment since 2018, making it the most operationally experienced autonomous AI pilot. Has piloted 26 classes of vehicles including F-16s, jet-powered UAVs, helicopters, drone boats, and ground vehicles. Recently demonstrated autonomously flying two Navy BQM-177A aircraft during a December 2025 flight test at Point Mugu Sea Range in California.
Autonomy software suite for developers and organizations building, testing, evaluating, and deploying autonomy for intelligent machines. Accelerates autonomy development by delivering a multi-year head start with platform products, AI-powered toolsets, and leveraging Shield AI's proven edge autonomy work enabling unmanned systems to operate in GPS- and comms-denied environments. The product suite includes an integrated autonomy factory, industrial-grade production ready middleware, a rich autonomy catalogue, and seamless mission control. The same tools that make up Hivemind Enterprise have already enabled Shield AI to autonomously fly F-16s, MQ-20s, MQM-178s, and operate V-BATs in GPS- and communications-denied environments.
Vertical take-off and landing (VTOL) reconnaissance unmanned aerial vehicle with ducted-fan design, more than 12 hours of endurance, and heavy-fuel engine. Designed, tested, and deployed for electronic warfare environments, V-BAT operates in GPS-denied and comms-contested conditions using Shield AI's Hivemind autonomy software, which includes visual odometry navigation capabilities. 40 lbs maximum payload capacity; lands in zones as small as 4.6 m × 4.6 m. First unmanned cargo delivery to a U.S. Navy ship at sea (December 2022).
Compact quadcopter designed for indoor exploration, mapping, and reconnaissance in GNSS-denied environments, running Hivemind autonomy software to operate without GPS or human operator control. Deployed in high-stakes missions since 2018, including Israeli hostage rescue operations. Nova 2, the current generation, features an embedded Xavier AGX compute module and 15-camera sensor array, enabling dense depth matching and feature tracking for robust state estimation in complex 3D indoor spaces. The platform serves as the foundational testbed for Shield AI's broader Hivemind autonomy stack.