- Seamless integration with all CAD models - Specialized for UAM and eVTOL design - Supports analysis of complex aerodynamic phenomena - Accurate prediction of airflow under subsonic and supersonic flight conditions - Detailed analysis of boundary-layer flow separation and viscous effects

Original compact design and long-term production know-how. System reliability and overall competitiveness.

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.

An AI-powered geospatial intelligence platform that allows users to interact with satellite imagery through natural language. By integrating LLMs with advanced image processing and object detection, SatCHAT makes EO data accessible to non-experts, enabling real-time infrastructure monitoring, event detection, and automated reporting. This lowers the barrier for industries to leverage satellite insights.

Contribute the Enhancement of Armed Forces with Continuous Technology Development Designed for replacing the Republic of Korea Army(RoKA)’s aged attack helicopter (500MD, AH-1S), the LAH(Light Armed Helicopter) Project is the one that aims to develop a cutting-edge armed helicopter suitable for the modern battlefield. Through the synergy of maximizing commonality in subsystems and parts with LCH(Light Civil Helicopter), KAI will reduce the development, production, and sustainment cost ultimately to be a bridgehead for a global helicopter market. The first flight of LAH was successfully conducted in 2019. KAI aims to complete the development of LAH in 2023.

This explosive detector, built on a photochemical sensor, is a security device that detects traces of explosives by sucking in the surrounding air. It is scheduled for trial application at APEC 2025.

SEMIL-2000GC is an extreme-rugged IP69K dustproof and waterproof edge AI platform in a 2U 19" rack-mount form factor. SEMIL- 2000GC incorporates Neousys' best-in-class thermal design to ensure fanless maximum GPU performance in wide range -40°C to 70°C temperatures. The system is also integrated with an NVIDIA® L4 GPU that offers up to 2.5 times the performance over Tesla T4.

Solution Overview The AI-Based Command Decision Support System, "KWM," identifies battlefield targets and recommends optimal weapon system combinations. It supports end-to-end "Sensor-to-Shooter" execution for rapid, accurate, and efficient engagement and command decision-making. Main Features Identifies targets on the battlefield using integrated sensors and data Recommends the most effective attack strategies for both reconnaissance and attack missions Provides command decision support through real-time analysis and visualization Suggests and allocates optimal target formations and strike assets Supports on-site command and control with a user-friendly interface Key Advantages Enables quick, accurate, and efficient engagement of enemy targets Automated recommendation of attack strategies and allocation of strike resources Real-time synchronization between reconnaissance and attack kill webs Direct connection from detection to strike (Sensor-to-Shooter capability) Increases operational efficiency and decision-making accuracy in complex battlefield environments Applied Cases Successfully piloted in the Army Tiger Boost Project in 2024 Used for command decision-making and efficient allocation of attack resources in live military scenarios