The ECL4000 is an LTE outdoor base station developed for the U.S. CBRS market, providing a service radius of several kilometers and enabling seamless private LTE network service.

Inserts are used in the aerospace industry in lightweight sandwich panels and are then bonded. The panels can then be screwed or various components can be fastened. However, the manual process has several disadvantages: Enormous expenditure of time for the manual filling of several thousand inserts, high material waste due to relaxation of the material, and high material costs through the use of cartridges. ViscoTec can map the filling process automatically. The dispensing process is absolutely precise. A significant amount of material can thus be saved. In addition, material can be supplied from large containers, which in turn lowers purchase prices. Another important advantage: As a rule, no new specifications have to be made since no changes are made to the actual process.

Ekinox Micro combines a high-performance MEMS inertial sensor with quad-constellation, multi- frequency dual-antenna GNSS receiver to provide unmatched accuracy even in the most challenging applications. Designed to operate in the harshest conditions, Ekinox Micro is military standard compliant, making it the ideal choice for any mission critical application.

A world well know Aviation Ground Support Equipment (AGSE) in support of military and commercial aircraft

Rolatube Tripods are purpose-built for applications where mobility, speed, and performance matter. Constructed from Rolatube’s patented rollable composite material, each tripod offers a durable yet lightweight structure that rolls or folds down for easy transport and storage. Designed to support a range of payloads and mission profiles, the lineup includes the highly portable System 30, versatile Industrial Compact Tripod, and robust System 50 Tripod MIL for demanding field operations. These tripods are engineered for rapid deployment and compatible with Rolatube masts or other payloads requiring stable elevation. Their corrosion-resistant build, compact footprint, and tool-free setup make them ideal for communication, surveillance, and sensor support across defence, emergency response, and industrial sectors.

Solution Overview KWM-Ocelot (AI Electromagnetic Spectrum Reconnaissance System) is a self-developed solution that measures field strength and clearness of 5G/4G base station signals and automatically analyzes abnormal waveforms based on time-series data. Main Features Real-time wideband frequency scanning using an RF detector mounted on unmanned complex systems AI-based signal characteristics and transmitter location analysis Real-time transmission and visualization of analysis data to ground control stations (GCS) via data link Identification of locations such as enemy drone and equipment operation areas, and command posts Effective tracking and jamming of enemy communications Key Advantages Automated signal classification and pattern learning based on AI Real-time visualization of battlefield electromagnetic spectrum distribution Effective signal detection, analysis, and tracking in various military environments Fully in-house developed, enabling rapid technological application and operational optimization Applied Cases Winner of the Grand Prize (Army Chief of Staff Award) at the 2025 Army Artificial Intelligence Idea Contest Real-time reconnaissance of battlefield electromagnetic environments and enemy communication tracking in military operations

ARDRONIS는 로데슈바르즈의 드론 대응 솔루션 제품군입니다. 복합 시스템 접근 방식으로 고객이 각각의 고유한 최종 사용자 요구사항에 따라 악의적이고 비협조적 위협을 탐지-식별-위치 확인-추적-검증-대응할 수 있습니다. ARDRONIS가 RC 드론 활동을 탐지하면 드론 신호의 유형을 자동으로 분류하고, 드론의 방향과 조종자를 확인한 다음, 드론이 목표물에 도달할 수 없도록 무선 제어 링크를 차단합니다. 대부분의 상업용 원격 제어 드론은 최신 주파수 가변 파형인 FHSS(Frequency Hopping Spread Spectrum)를 통해 제어합니다(업링크). 기타 일반적인 드론 유형은 Wi-Fi을 통해 제어합니다(업링크). 드론에서 전송하는 신호(다운링크)는 일반적으로 FHSS, Wideband 또는 Wi-Fi 신호입니다.

RAIBO2 is a quadrupedal robotic platform that uses four legs to navigate to designated locations, observe its surroundings. Based on state-of-the-art robotic control technology, deep reinforcement learning enables highly dynamic, robust, and efficient locomotion. Furthermore, the in-house integration of hardware and software facilitates energy and design optimization, while allowing for extensive customization.