The SDI170 IMU is designed for demanding, mission-critical, rugged environments and ideal for continuous use applications with no wear-out components, highly linear accelerometer performance and longer life compared to competing alternatives. It is constructed with EMCORE’s latest generation quartz gyros, quartz accelerometers, and high-speed signal processing to achieve outstanding precision performance. The solid-state quartz sensors and hermetically sealed IMU construction provide reliable MTBF and a 20-year operating and storage life. Continuous Built-in Test (BIT), configurable communications protocols, electromagnetic interference (EMI) protection and flexible input power compatibility make the SDI170 IMU easy to use in a wide range of higher-order integrated commercial and defense system applications.

Various line up, high torque frameless motor capable of precise speed and position control. Application areas are Collaborative robots, Dog Horse robots.

The fully redundant DA 30-HT-D has been developed for applications with the highest reliability demands. The redundant – two channel – design of the actuator allows continuous operation even if one of the two channels has failed. All major components such as the electric motors, control and communication electronics, and power supply are available twice (redundant). The position sensor features a three channel design (for 2 out of 3 voting). Additionally, there are several sensors integrated to provide diagnostic information such as current consumption, supply voltage levels and temperature readings. All major components of the actuator are continuously diagnosed by the microcontrollers of the actuator and its health status can be read via the redundant RS485.

SAF-FIRES™ is a standards-based, image generator agnostic, and scalable Call-For-Fire and Close Air Support training simulation with autonomous Smart Trainer suitable for deployment in Joint Fires and accreditable JTAC training simulators. Built upon the same Call-For-Fire and Close Air Support software engine that powers the accredited simulation Fires FST™, SAF-FIRESTM delivers the same mature and complete Joint Fires training solution but makes it available for integration with any DIS, HLA or CIGI compatible simulation or Image Generator. Supporting both conventional near-peer and counter-insurgency operational scenarios, SAF-FIRES™ enables JFOs and JTACs to train realistically in a modern complex battlespace against an agile and adaptive adversary. Heightened realism and cognitively challenging training are enabled through the incorporation of non-combatants, urban clutter, UAV surveillance, various close air support platforms and accurate military targeting procedures.

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

Each Snowball Edge device can transport data at speeds faster than the internet. This transport is done by shipping the data in the devices through a regional carrier. The appliances are rugged, complete with E Ink shipping labels. Snowball Edge devices have two options for device configurations—Storage Optimized 210 TB and Compute Optimized.

With expertise in manufacturing guidance, navigation, and control (GNC) products, we have been used in over 2,000 spacecraft. Adaptable for size, moment, and power to meet optimal system requirements. Redundant windings available. Current, speed, and torque control. Simple digital interface to the spacecraft bus. Hermetically sealed. Long demonstrated lifetimes. ISO 14644-1 state-of-the-art cleanroom facility. ISO 9001:2015 certified.

Supports non-destructive inspection of aircraft composite skin structures and is composed of a piezoelectric layer sensor, data acquisition equipment, and damage analysis software. Utilizes piezoelectric sensors to generate Lamb-wave and acquire signals, collecting data to accurately detect and assess composite damage. Visualizes inspection results on display such as damage location, size and index. - POD Accuracy: 1 inch 90% or more - POD Precision : Position error within 30 mm - 64 channels / 230 path reference detection time within 10 minutes - Sensor : Resonance resistance less than 400kΩ - Sensor : MIL-STD-810G - Sensor : RTCA DO-160 Section 23.0 - DAQ : x128 Piezoelectric sensor interface