Securing borders, hunting drugs, finding threats. Shield AI’s V-BAT is the future of next-generation UAS. The most tactical, most logistically simple UAS in the world. There’s nothing else like it.

V-BAT Crushes The Competition

01 Results
In head-to-head customer fly-offs, V-BAT wins. The U.S. and allied militaries are choosing V-BAT because it delivers, period.

02 Performance
Ducted-fan technology enables industry leading max-takeoff weight to payload weight ratio. We didn’t just break the record, we redefined what’s possible.

03 Safety
No exposed rotors, no required operator safety zones. So safe you can get hands on during takeoff and landing.

Maritime UAS of Choice

V-BAT beat out 13 competitors to win the Navy and SOCOM MTUAS Increment 2 Program of Record. Its unique design and controls allow it to take off & land in high winds, on crowded flight decks, aboard moving vessels with landing zones as small as 12’ x 12’.

LLC-4000 is a cutting-edge 4K low-latency video encoder/decoder purpose-built for tactical operations, reconnaissance, and situational awareness in demanding environments. It delivers reliable real-time video transmission over narrow-bandwidth satellite links and tactical radio systems, enabling uninterrupted communication during critical missions. Engineered with a compact form factor and advanced compression technology, the LLC-4000 is well-suited for remote and mobile deployments where bandwidth is limited. Proven in operational use, the system has been successfully deployed by units of the Japan Ground Self-Defence Force, including amphibious rapid deployment and communications brigades, supporting a wide range of military field operations.

A lightweight high tensile aluminium frame, suspended by elastomeric anti-vibration mounts, provides superior ‘sway-space’ between the frame and the outer container and is the best possible way to safeguard delicate equipmentMore robust and stainless steel variants are custom-made for heavy payloads and corrosive environments. Enhanced ‘sway space’ between inner frame and outer case to prevent contact with outer container All our 19 inch Amazon Racks have a ‘user adjustable’ inner frame allowing back to front movement of 50mm within the outer container to accommodate front panel and rear wiring/ connector needs. Optional ‘EasyGlide’ removable, self anchoring, internal frame system Standard, stainless steel M6 threaded fasteners secure electronic equipment into floating stainless steel cage nuts at both front and rear of frame. All our 19 inch Amazon Racks have positive stacking, aligning at the front face regardless of rack depth

THE FUTURE OF FIGHTER JETS

With a 99% win-rate in simulated F-16 dogfights versus active-duty Air Force and Navy fighter pilots, Hivemind is learning to execute a variety of missions from Beyond Visual Range strike to suppression of enemy air defense. The future of air dominance will be powered and flown by Hivemind.

It Starts With The F-16

Hivemind will deploy as a digital co-pilot on a U.S. Air Force F-16, with the goal of rapidly scaling across next-generation aircraft, F-22s, F-18s, and other fighter jets. Hivemind will make legacy fighters relevant for decades to come and will power the next generation of military aircraft.

Product Specifications: Reduce weight and achieve high durability by applying high-strength materials Customer Mercedes-Benz in Germany

Our clamping division manufactures parts to secure external lines and tubes to the landing gear fitting and oleo.

Yuan Thor platform serves as the computational core for autonomous systems. Powered by NVIDIA® Jetson Thor™ (128GB LPDDR5X, 2560 CUDA cores, 96 Tensor cores), it delivers up to 2070 FP4 TFLOPS of AI performance for real-time sensor fusion, data analytics, and edge decision-making. Thor supports 16× MIPI CSI-2 cameras, audio in/out, CAN Bus, UART, I²C, SPI, and GPIO, enabling precise, low-latency responses for robotics, industrial automation, and autonomous vehicles.

InspecX is a next-generation autonomous swarm inspection system for aircraft. It is addressing challenges in the $100B global aviation maintenance market. Airlines face a shortage of certified technicians, with Boeing projecting demand for over 700,000 by 2044. Aircraft-on-ground (AOG) incidents cost $10,000–$150,000 per hour, making downtime reduction critical. InspecX uses swarm coordination and LiDAR-based SLAM to perform safe inspections in GNSS-denied or indoor environments. It reduces required technicians from 9 to 3 and inspection time from 10 hours to 3, achieving over 50% cost savings for large aircraft. Beyond efficiency, InspecX helps airlines avoid AOG losses, accelerates maintenance cycles, and improves airworthiness. By maximizing fleet readiness and ensuring reliable operations, it provides a scalable, future-proof solution. InspecX is positioned to become the new global standard for aviation safety and maintenance in the era of intelligent mobility.