Real-World Impact Across Critical Missions.
USE CASES
Counter-UAS
Warfighters gain real-time drone detection and alerting directly through handheld tactical devices, reducing time-to-detect and enabling immediate response to emerging aerial threats at the point of need.
Fixed sensors provide persistent monitoring of the electromagnetic environment, detecting both known and unknown drone signals. Using GlobalEdge Learning, previously unseen signals are rapidly identified and added to the detection library—continuously adapting to evolving threats and maintaining an up-to-date C-UAS capability across the formation.
Learning at
the Edge
Edge systems gain the ability to identify and learn unknown signals in seconds, continuously expanding the threat signal library while delivering real-time operational awareness directly at the point of need—without reliance on cloud or centralized processing infrastructure.
GlobalEdge Learning enables analysts to build, validate, and deploy updated detection models in minutes, allowing systems to adapt with every encounter. This ensures electronic warfare capabilities remain current and responsive in rapidly evolving environments, while eliminating the need to transport data off-platform for analysis.
Dismounted
Operations
Warfighters receive decision-quality outputs on adversarial signals directly to their end-user device in real time, reducing time-to-detect and time-to-act while enabling faster, more confident decisions at the point of need.
GlobalEdge delivers continuous electromagnetic spectrum monitoring across the formation providing early warning, threat detection, and enhanced situational awareness—delivered passively through existing equipment without the need for dedicated EW operators or additional systems.
Distributed RF
Sensing
Distributed spectrum sensing enables persistent, multi-domain awareness across space, airborne, and terrestrial systems—creating a unified sensing architecture for detecting and tracking signals across the operational environment.
GlobalEdge Learning continuously updates and federates signal libraries across all sensing layers, ensuring consistent detection of known and unknown signals. This enables coordinated, real-time awareness and rapid adaptation across the architecture—supporting resilient, scalable sensing aligned to Golden Dome–style operations.