A cost-effective and reliable EO/IR solution designed for unmanned platforms, combining compact design with strong performance. The system integrates QVGA/VGA-class infrared sensors and 2–20 megapixel EO cameras, providing versatile options to meet different operational requirements. o Infrared (IR) Sensor: QVGA/VGA resolution, optimized for detection and recognition in short-to-mid range surveillance o Electro-Optical (EO) Module: 2MP–20MP visible light cameras with high-resolution imaging, adaptable to multiple mission profiles o Design Philosophy: Lightweight, compact, and robust for integration into unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and ground robotics o Key Value: Balances price competitiveness, system reliability, and modular scalability for mass deployment

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

Our XR-based aircraft maintenance simulator is officially certified by the Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea for training and education. It provides specialized training environments for the A321, B737-MAX, and B737-800NG aircraft, featuring over 80 detailed modules—including procedures for engine removal, main landing gear installation, and more. This subscription-based simulator is fully compatible with smartphones, tablets, and wearable XR devices, enabling seamless access through a cloud-based web service. Users can train anytime, anywhere—perfect for both remote learning and remote maintenance scenarios. Compared to traditional classroom learning, the XR platform is 4 times more effective and requires only one-third the training time. It also improves user confidence in real-world technical applications by up to 275%. By transforming traditional paper manuals into immersive, interactive training environments, the simulator delivers the next generation of aircraft MRO education for both civil and defense sectors.

- FOG based Inertial Navigation System for Gyrocompass - Position Accuracy(INS/GPS): < 3 m - Heading Accuracy: < 0.1º  sec (LAT) - Attitude Accuracy(Static): 0.01º - Attitude Accuracy(Dynamic): 0.01º - Operating Voltage: 9 to 36 VDC - Power Consumption: < 15 W (typ.) - Dimension(L x W x H): 330 mm x 192mm x 180mm

Thermal Battery has high power density, high reliability, wide temperature range (-54°C to +75°C), long shelf life (15 years or more) with short activation time. We service the optimized and customized solutions to the customers worldwide. * Applications - Guided Missiles - Projectiles - Rockets - Bombs, Mines - Decoys

The World's Most Complete Selection with Lightning Fast (Same-day!) Availability for: AS85049 (M85049), D38999, MIL-DTL-26500, MIL-DTL-28840, MIL-DTL-83513, MIL-DTL-83538, MIL-DTL-83723, MIL-S-81824, MS17349, MS27291 and Other Military Standard and Commercial Backshell Derivatives.

We manufacturer hardware securing instrumentation including fasteners along with avionics trays, associated shock mounts and vibration dampeners.

This EGR-Cooler prototype, developed in collaboration with Hyundai Motor Company, was fabricated using EOS Stainless Steel 316L, renowned for its excellent corrosion resistance and mechanical properties in demanding automotive applications. The part was additively manufactured over a period of 64 hours, demonstrating the advanced capabilities of metal 3D printing for precision and reliability. Unlike conventional designs, this innovative component integrates 14 separate parts into a single, unified structure, greatly simplifying assembly while enhancing operational efficiency. The implementation of a Triply Periodic Minimal Surface (TPMS) structure within the cooler significantly improves heat exchange performance and enables substantial weight reduction, meeting next-generation thermal management requirements. Partners Lab stands as a leader in Korean additive manufacturing technology, offering cutting-edge capabilities in OEM production and collaborative technical development for various industrial sectors. This EGR-Cooler, designed by nTopology, exemplifies our engineering expertise and commitment to delivering high-performance thermal products for automotive and beyond.