The First & Only Autonomous AI Pilot Deployed Since 2018

Similar to a human pilot, Hivemind reads and reacts to the battlefield, and does not require GPS, waypoints, or comms to make decisions. Hivemind enables intelligent teams to perform missions ranging from room clearance with Novas, penetrating air defense systems with V-BATs, to dogfighting F-16s.

Intelligent Teaming

Shield AI’s synthetic environments combined with human-machine tactics and behaviors. Testing and learning in real physics simulations reduces engineering cycle times and enables rapid real-world deployment. Welcome to the defense metaverse.

Edge Autonomy

The aircraft uses sensors to create a map or world-view, the computer then tells the aircraft or autopilot where to go and what to do to execute its mission. No GPS, no waypoints, and no comms are needed for aircraft to accomplish their missions.

Iniaturization model for UAVs Minimized Vibration & Noise by our technique Provide an electronic board Customized item for Military's needs

SeaHFlight is an advanced 2D/3D GIS-based command and control solution engineered for the comprehensive management of low-altitude aircraft, including helicopters, drones, and future UAMs. It provides a complete operational picture, offering full lifecycle management from initial flight planning and real-time monitoring to post-flight performance analysis. Key Capabilities: Unified Situational Awareness: Achieve superior decision-making with a dynamic 2D/3D operational map that visualizes all air assets in real-time. The system integrates crucial data layers, including weather, airspace information, and flight plans. End-to-End Mission Management: Streamline the entire operational workflow, covering everything from flight plan creation and pilot hour management to flight history recording and detailed performance evaluation. Proven Interoperability: SeaHFlight is designed for seamless data integration with key national and military agencies (Army, Police, National Fire Agency, Forest Service). This creates a unified network for complex, multi-agency public safety or defense operations. Future-Ready Platform: Built to manage not only current helicopter and drone fleets but also the next generation of Urban Air Mobility (UAM), SeaHFlight is a scalable, long-term solution for modern aviation.

Hydraulic top bracing is an attenuation device installed between the main engine and the hull of the ship to reduce thermal expansion and vibration from the main engine to natural frequencies. The operating principle is an automatic control operating system through in/out and on/off the operating range of the hydraulic top bracing according to the rpm of the main engine. The number of hydraulic cylinders per engine is typically 2, 4, 6 depending on the type of engine, up to 8 are installed if necessary, and 1~2 of control panels are installed.

High precision gears and shafts for AGB, APU gearbox or transmission gearbox for helicopters Gear Grade : Upto AGMA 13 Module : 0.5 ~ 20

The NSP-5 is an all-weather, multimode, Ku-band radar designed to fly on Group 3-4 Unmanned Airborne Systems (UAS). Its low-Size, Weight, and Power (SWaP) design means ample room for other onboard sensors, such as Electro-Optical and Infrared (EO/IR) cameras. This means users can understand the bigger picture. The NSP-5 is capable of performing spot and stripmap Synthetic Aperture Radar (SAR) and Magnitude Change Detection (MCD), as well as Moving Target Indication (MTI) collections in a variety of maritime and land environments in all weather conditions. This includes smoke, fog and other obscurations where the operators do not have a clear view of the terrain below them. The NSP-5 has a proven track record of reliability and has a recommended maintenance interval of 2,000 hours. Additionally, the modular design makes the NSP-5 easy to integrate onto most platforms.

With more than 33,000 delivered to date, CFM56® engines mainly power single-aisle commercial jets from Airbus and Boeing. The CFM56®, developing 18,500 to 33,000 lb of thrust, set a standard in this market. It owes its impressive success to exceptional performance and reliability, the result of the two partners' technical excellence.

In collaboration with Hanwha Systems, we developed and optimized a Transformer-based AI model for ship and aircraft detection on embedded platforms. Targeting NVIDIA Jetson Orin AGX, the project utilized the MSAR (640×640) dataset along with large-scale training databases built from public sources. The RT-DETR model, currently under review, was optimized through hardware-friendly design, Int8 quantization, and specialized inference acceleration. As a result, the solution achieved up to 5x faster inference speed while maintaining accuracy, reaching 20% of NVIDIA TensorRT performance. This demonstrates the ability to deliver reliable, real-time detection capabilities in resource-constrained embedded environments, enabling next-generation defense and surveillance applications.