Products
Hydra Counter-Drone System
Hydra, our Counter-Drone system, pairs a 32-element digital beamforming antenna with a gallium-nitride RF front end to give operators fast, high-power, and precise RF control against small unmanned aerial systems. Software-defined from the ground up and built to evolve with emerging threats, Hydra combines embedded machine learning with azimuth and elevation direction-finding to detect, classify and track single drones or coordinated swarms. Designed to be networked using NATO protocols, the system supports automated countermeasures while sharing targeting and threat metadata across allied platforms.
Artemis Drone Electronic Warfare Payload
Artemis is a compact, drone-mounted evolution of the Hydra family engineered for Group 1 and 2 platforms. The eight-element digital beamforming payload delivers both electronic support and electronic attack capability in a size, weight, and power envelope suitable for airborne deployment. Like its larger sibling, Artemis is software-defined and uses embedded processing to perform on-board detection, classification, and responsive jamming—extending persistent, mobile C-UAS effects to tactical units that need agile, covert EW on the move.
Multi-Function Electromagnetic Spectrum Operations (EMSO) System
Our Electromagnetic Spectrum Operations (EMSO) system scales from 8 to 32 digital beamforming elements and is available across frequency ranges from VHF through mm-wave. A single common aperture supports cognitive radio functions, electronic support, and electronic attack, enabling simultaneous sensing and effecting without hardware swaps. Software-defined architectures and advanced beamforming let the platform adapt spectrum use in real time, delivering a unified EMSO capability that senses complex RF environments and executes coordinated mitigation strategies.
EMSO Command and Control System
Spectrum Command and Control turns terabits per second of raw RF data into a clear, actionable spectrum common operating picture. By fusing sensor and effector data with statistical signal-processing techniques, the C2 optimally estimates emitter locations, allocates sensing and countermeasure resources across the network, and continuously refines performance using machine learning. Purpose-built for both EMSO and C-UAS command and control, the system automates routine decisions while giving operators intuitive oversight of sensors, weapons, and the electromagnetic battlespace.
