The engine features advanced Full Authority Digital Electronic Control (FADEC) and an integrated Engine Monitoring System (EMS) to keep tabs on engine health, monitor usage and streamline troubleshooting. Modular design makes the engine faster and easier to repair, enabling maintenance teams to put training instructors and student pilots where they belong, back in the air, quickly and efficiently. Safety is paramount in the flight training world and the T-100 provides an additional safety margin by using two F124 engines. The F124 offers all this and more, backed by the global resources of Honeywell and a reputation earned in producing some of the world’s best turbine engines over more than six decades.

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.

Reinforced & Non-Reinforced Seals

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.

Electro-Optic Targeting Unit is optimized to be used as an imaging system for Remote Control Weapon Station as a targeting Unit. This unit also performs as a long range surveillance unit for any kinds of vehicles in the environment of heavy fog, dust and complete darkness at night and in the day time User can detect targets in complete darkness condition. - Wide field of view with optional lens (HFOV 90°) - Applicable to various platforms of vehicles. - Cooled / Uncooled thermal detector. (640 x 480) - Measuring target distance using laser range finder.

Designed for existing in-service EGI upgrade and compatibility with open architecture requirements. Perfectly suited for military helicopters, aircraft, fighter jets and UAVs, the BlackNauteTM Embedded GNSS and Time INS (EGTI) sets the new standard for resilient navigation performance.

국내 최초로 GaN MMIC HPA 개발을 통한 레이다 탐지용 TR Module 개발로 핵심기술을 확보 하였으며 S ~ Ka대역 주파수 범위에 최적화된 다양한 제품을 개발, 생산하고 있습니다.

The SWIR & NIR 25-250mm f/5.5 (NFOV) f/4.0 (WFOV) continuous zoom lens is a first to market low-Size, Weight, and Power (SWaP), compact lens, for the newly introduced 5μm SXGA, as well as for 10μm SXGA, and 15μm VGA SWIR detectors. The SWIR & NIR zoom lens employs a unique mechanical and optical design, resulting in an all-around smaller and lighter unit with only 860gr in weight, and 224mm in length, making it approximately 60% lighter than similar existing SWIR lenses. The SWIR lens is also chromatically corrected to support a broader short-wave IR wavelength regime from 0.7-1.7μm and operates with minimal distortion. The SWIR & NIR 25-250mm f/5.5 (NFOV) f/4.0 (WFOV) continuous zoom lens presents an unrivaled combination of SWaP capabilities, detection range exceeding 26km. Product features: • Continuous zoom in the 0.7-1.7μm SWIR regime • Designed for 5μm, 10μm SXGA & 15μm VGA SWIR detectors • Lightweight (<860 gr) • Detection range >26 km • Enables laser-line detection