Sierra Nevada Corporation is a provider of secure computing and communications solutions, enabling high-speed, high-capacity voice, data and video communications for the Department of Defense (DoD) and other mission partners.

Robotic technology that combines IoT and autonomous driving technologies provides key solutions for future mobility manufacturing. Main Functions Innovative manufacturing system using Collaborative Robot and Autonomous Mobile Robot ptimize production processes and provide logistics flexibility Ensuring Optimal Production Process Using AI Application Site HMGICs : Flexible Production Cells (smart manufacturing) Targeted to supply to global manufacturing sites

The Crane stands as a state-of-the-art Mid-Wave Infrared (MWIR) detector. This device features a 5-megapixel resolution in a 2560×2048 format with a fine 5μm pitch. It is based on SCD's established XBn technology or Hot Full Midwave (HFM) and incorporates a digital readout circuit developed using an advanced CMOS process. The High Operating Temperature (HOT) Focal Plane Array (FPA) functions efficiently at 150K or 120K, enabling a large-format detector that excels in image quality while maintaining a relatively compact size, weight, and power consumption. SCD continues to lead in innovation.

ZYX SPACE is an intelligent design platform that integrates artificial intelligence into the architectural design process. It is designed to minimize repetitive tasks through automation and empower designers to focus on creativity and decision-making. With its advanced AI engine trained on over 80,000 architectural drawings, ZYX SPACE can automatically recognize 2D floor plans, identify key elements such as walls, doors, and windows, and generate accurate 3D models in real time. Designers can experience seamless 2D-to-3D transformation without the need for manual modeling. ZYX SPACE also offers powerful daylight analysis features, simulating natural sunlight movement to visualize indoor lighting conditions and energy efficiency through heatmaps. This enables informed design decisions that consider both aesthetics and sustainability. One of the platform’s standout capabilities is converting image-based drawings into CAD-compatible vector files. ZYX SPACE not only extracts geometric data but also recognizes numerical information embedded in scanned or photographed blueprints, making legacy data usable in modern design workflows. Through auto-learning and labeling features, the platform continuously improves its recognition accuracy by learning from accumulated project data. It automatically classifies architectural components and spatial configurations, boosting productivity and reducing errors. ZYX SPACE also supports AI-driven interior rendering. It analyzes room layouts to suggest optimal furniture placements and delivers real-time visualizations based on different interior concepts, helping designers and clients envision the final space with clarity. When combined with ZYXCAD, ZYX SPACE provides a highly integrated design environment—enabling end-to-end automation from drafting to visualization. This powerful synergy allows architects, engineers, and designers to accelerate their workflows, improve precision, and unlock new levels of creativity.

Solution Overview EagleEye is a a synthetic data generation & management platform for AI training that integrates image generation, LLMOps, and MLOps. It automates high‑quality dataset generation, labeling, and model validation—and has been certified “military suitable” and delivered first to the ROK Army AI Center. Main Features Image generation with text/image prompts; object/background customization LLMOps: prompt understanding + image–text labeling workflow MLOps: CV model training/validation, dataset versioning, experiment tracking End‑to‑end pipeline from data preprocessing to model deployment Data augmentation and management for scalable, repeatable training Key Advantages Certified “military suitable”; meets defense operational requirements First AI solution supplied to the ROK Army AI Center, proving reliability One‑stop synthetic data + model ops cuts development/validation time Fully in‑house stack enables rapid updates and mission‑tailored customization 2025: First AI product delivered to the ROK Army AI Center for defense AI projects Used to generate and manage high-quality synthetic imagery for military AI model training and validation

Users can utilize and control autonomous drone services, including mission area setting, automatic dispatch instructions, real-time status checks, and return and charging confirmation, through the control program. This allows for the effective collection of various data, including minimizing manpower, improving accuracy, and responding to emergency situations.

Next-generation satellite multi-band terminal system development project

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.