NEMESIS
AI-powered RF drone detection across all major drone radio bands — from a single device to city-wide mesh networks.
NEMESIS is a dynamic RF detection network that uses AI to scan, fingerprint, and classify drone signals across SUB-1GHZ ISM, 1.2-1.3GHZ FPV, 2.4GHZ ISM, 5.1GHZ, 5.8GHZ FPV/O4, and 6GHZ U-NII 5-8 bands — capturing telemetry, video, and control signals.
Hardware comes in two form factors: NEMESIS-CORE, an outdoor multisensor RF detection node, and NEMESIS Handheld, a wearable portable detector. Handheld units pair in mesh and report to core nodes, scaling from personal protection to city-wide coverage.
As part of Talos Defence's layered security ecosystem, NEMESIS integrates with AEGIS-SHIELD to deliver a unified defence picture.
Multi-Band RF Fingerprinting
Scans all major drone radio bands — telemetry, video, and control signals — to detect and classify drones without jamming.
AI Drone Classification
Machine-learning models identify drone type and behavior from RF fingerprints.
Wi-Fi Remote ID Decode
ASTM F3411 Remote ID decoding for compliant drones.
Direction Finding & FPV Detection
Bearing estimation plus 5.8 GHz FPV/video signature detection.
Dynamic Mesh Networking
Handheld units pair in mesh and report to NEMESIS-CORE node(s) for scalable, distributed detection.
AEGIS-SHIELD Integration
NEMESIS detection feeds directly into AEGIS-SHIELD for layered threat picture and coordinated response.
NEMESIS-CORE
Outdoor multisensor RF detection node. Deploy standalone for personal protection, land, or home. Scale to synchronized city-wide or venue coverage by networking multiple cores. Reports to AEGIS-SHIELD as part of layered defence.
NEMESIS Handheld
Wearable portable drone detector. Basic version: drone ID detection only. Premium version: full detection capability. Multiple handhelds pair in mesh and report to NEMESIS-CORE nodes.
Deploy NEMESIS detection with your team.
From single-device personal protection to city-wide mesh networks, we support configuration and deployment across all scales.
Request detection brief