Primarily used in medium-sized and large satellites, it provides high torque performance and momentum conservation. By localizing the Control Moment Gyro controller, which had previously been imported for Korea’s domestic satellite industry, Lumir has gained a competitive advantage in both performance and cost.

V-BAT Teams is powered by Hivemind, the world’s best AI pilot and the most strategic defense tech of our generation. AI pilots enable aircraft to maneuver without GPS or communications and enable the concept of intelligent teaming – the ability to autonomously read and react to each other, adversaries, and the environment to accomplish the mission.

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.

Revolutionary DFOG Technology Boreas takes Fibre Optic Gyroscope (FOG) technology into the next generation with new, patent-pending Digital FOG (DFOG) technology, developed over 25 years with 2 research institutions. This revolutionary DFOG technology combines a specially designed closed-loop optical coil with advanced spread spectrum digital modulation techniques that have never been used in a FOG before. The resulting DFOG offers dramatically improved accuracy, stability, and reliability with significantly reduced size, weight, power, and cost.

Solution Overview KWM-Ocelot (AI Electromagnetic Spectrum Reconnaissance System) is a self-developed solution that measures field strength and clearness of 5G/4G base station signals and automatically analyzes abnormal waveforms based on time-series data. Main Features Real-time wideband frequency scanning using an RF detector mounted on unmanned complex systems AI-based signal characteristics and transmitter location analysis Real-time transmission and visualization of analysis data to ground control stations (GCS) via data link Identification of locations such as enemy drone and equipment operation areas, and command posts Effective tracking and jamming of enemy communications Key Advantages Automated signal classification and pattern learning based on AI Real-time visualization of battlefield electromagnetic spectrum distribution Effective signal detection, analysis, and tracking in various military environments Fully in-house developed, enabling rapid technological application and operational optimization Applied Cases Winner of the Grand Prize (Army Chief of Staff Award) at the 2025 Army Artificial Intelligence Idea Contest Real-time reconnaissance of battlefield electromagnetic environments and enemy communication tracking in military operations

Each Snowball Edge device can transport data at speeds faster than the internet. This transport is done by shipping the data in the devices through a regional carrier. The appliances are rugged, complete with E Ink shipping labels. Snowball Edge devices have two options for device configurations—Storage Optimized 210 TB and Compute Optimized.

No Coding Required: Create XR content effortlessly with a drag-and-drop interface. Industry-Specific Solutions: Suitable for manufacturing, logistics, energy, and various industries. Multi-Device Compatibility: Works on PCs, tablets, smartphones, and smart glasses (VisionX). Real-Time Collaboration: Multiple users can edit and share content simultaneously.