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

JEFF CONDOR is the tactical spectacle for Military & Enforcement who need ultimate protection. Shape memory alloy gives secure fit & maximum comfort. JEFF CONDOR is an innovative product that can minimize visual disturbance caused by fogging by applying Anti-Scratch & Anti-Fog coating on the inside and outside of the lenses. It can offer up to 99.9 protection form UV rays. It is compliant with ANSI Z87.1 standard requirement, and European CE standard, and exceed U.S Military eyewear ballistic resistance requirement MIL-PRF-32432A. Thin temples enable compatibility with communication systems and helmets.

Model-Based Systems Engineering (MBSE) is a methodology that integrates design, analysis, and verification activities throughout the system lifecycle using architecture models. By modeling requirements, functions, structure, and behavior, MBSE supports consistent and informed decision-making. Ansys SAM (System Architecture Modeler) supports the latest system modeling language, SysML v2, and enables both graphical and textual modeling, real-time collaboration, and model management. Ansys ModelCenter integrates various engineering tools and builds automated workflows, enabling what-if simulations and trade studies. By connecting architecture models with simulation models, it supports consistent design analysis and requirements validation using a single source of truth (ASoT).

Saab's Electronic Warfare (EW) Countermeasure Dispensing Systems (CMDS) for airborne platforms provides self-protection in sophisticated, diverse and dense threat environments for your mission success and safe returns.

AIM사의 는 항공 전용 풀 듀플렉스 스위치 이더넷으로 표준 이더넷 네트워크 기능 시험 및 시뮬레이션, 모니터링 분석용 기능을 제공합니다.

The KF-21 is the project which aims to replae the aged fighters in operation, F-4, and F-5 of the Republic of Korea Air Force and develop the indigenous Korean fighter aircraft which is equipped with performances suitable for the future battlefield of the country's air force. Korea's largest-scaled KF-21 project is the national R&D project with a development span of 10 years and 6 months and is driven with Indonesia under international joint development. Based on its development experience and infrastructure of a homegrown airplane, such as the KT-1 basic trainer, T-50 Advanced Jet Trainer, TA-50 Lead-in-Fighter-Trainer, and FA-50 Light Combat Aircraft, KAI is under development of the KF-21 project successfully. Through this project, KAI plans to develop the aerospace technology of Korea and contribute to national peace and security as well as economic development.

Military actions today depend on effective use of the electromagnetic spectrum to surveil and assess the battlespace, to protect friendly forces and equipment, and to attack the enemy. That is today's Electronic Warfare (EW), and maintaining a technological advantage across the electromagnetic spectrum can mean the difference between whether or not you complete your missions and bring your forces home.

1. Filler Metal Name Material/Alloy AWS W-No. ISO-No. Nickel 61 Ni A5.14 ERNi-1 2.4155 SiNi2061 MONEL® 60 Ni-Cu A5.14 ERNiCu-7 2.4377 SNi4060 MONEL® 67 Cu-Ni A5.7 ERCuNi 2.8037 SCu7158 INCONEL® 72 Ni-Cr A5.14 ERNiCr-4 SNi6071 NC 80/20 Ni-Cr 2.4639 INCONEL® 82 Ni-Cr A5.14 ERNiCr-3 2.4806 SNi6082 INCONEL® 622 Ni-Cr-Mo A5.14 ERNiCrMo-10 SNi6022 INCONEL® 625 Ni-Cr-Mo A5.14 ERNiCrMo-3 2.4831 SNi6625 INCO-WELD® 686-CPT Ni-Cr-Mo A5.14 ERNiCrMo-14 SNi6686 INCO-WELD® 725NDUR Ni-Cr-Mo A5.14 ERNiCrMo-15 SNi7725 INCO-WELD® C-276 Ni-Cr-Mo A5.14 ERNiCrMo-4 2.4886 SNi6276 INCONEL® 52 Ni-Cr-Fe A5.14 ERNiCrFe-7 SNi6052 INCONEL® 52M Ni-Cr-Fe A5.14 ERNiCrFe-7A INCONEL® 92 Ni-Cr-Fe A5.14 ERNiCrFe-6 SNi7092 INCONEL® 617 Ni-Cr-Co-Mo A5.14 ERNiCrCoMo-1 2.4627 SNi6617 NILO® CF36 Ni-Fe INCOLOY® 65 Ni-Fe-Cr A5.14 ERNiFeCr-1 SNi8065 INCONEL® 718 Ni-Fe-Cr A5.14 ERNiFeCr-2 2.4667 SNi7718 Titanium Grade 1 Ti A5.16-90 ERTi-1 Titanium Grade 2 Ti A5.16-90 ERTi-2 Titanium Grade 5 Ti-Al-V A5.16-90 ERTi-5 Titanium Grade 7 Ti-Pd A5.16-90 ERTi-7 2. Electrodes Name Material/Alloy AWS W-No. ISO-No. Nickel 141 Ni A5.11 ENi-1 2.4156 ENi2061 MONEL® 190 Ni-Cu A5.11 ENiCu-7 2.4366 ENi4060 MONEL® 187 Cu-Ni A5.6 ECuNi 2.0838 ECu7158 INCO-WELD® A Ni-Cr-Fe A5.11 ENiCrFe-2 2.4805 ENi6092 INCONEL® 152 Ni-Cr-Fe A5.11 ENiCrFe-7 ENi6152 INCONEL® 182 Ni-Cr-Fe A5.11 ENiCrFe-3 2.4807 ENi6182 INCONEL® 112 Ni-Cr-Mo A5.11 ENiCrMo-3 2.4621 ENi6625 INCONEL® 122 Ni-Cr-Mo A5.11 ENiCrMo-10 ENi6022 INCO-WELD® C-276 Ni-Cr-Mo A5.11 ERNiCrMo-4 2.4887 ENi6276 INCO-WELD® 686CPT Ni-Cr-Mo A5.11 ERNiCrMo-14 ENi6686 INCONEL® 117 Ni-Cr-Co-Mo A5.11 ERNiCrCoMo-1 2.4628 ENi6617