Gargoyle Systems provides an enterprise‑grade airspace security platform that detects and classifies unauthorized drones using dual‑mode RF and acoustic sensors combined with machine‑learning analysis. The system integrates with existing video‑management, access‑control and perimeter‑sensor solutions via RESTful and ONVIF APIs, delivering real‑time alerts, cloud‑based analytics, and an optional authorized‑airspace corridor for vetted commercial drones.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional perimeter security systems are confined to ground‑level sensors and fences, leaving the airspace above private estates, corporate campuses, and critical infrastructure unmonitored. Unauthorised drones can conduct surveillance, deliver contraband, or facilitate espionage, creating privacy, safety, and asset‑theft risks that existing solutions cannot address.
Solution
Gargoyle Systems delivers an enterprise‑grade, 24/7 airspace security layer that detects and classifies unmanned aerial systems using a patented dual‑mode radio‑frequency (RF) and acoustic signature analysis. The sensor suite continuously scans the protected volume, while embedded machine‑learning models filter out false positives from birds or aircraft and assign threat categories in real time. Detected events trigger instant alerts that are pushed to existing video‑management systems (VMS), access‑control platforms, and on‑premise cameras, enabling automated tracking and recording. All data are streamed to a cloud‑hosted analytics dashboard where security operators can view live maps, historical logs, and export reports via a standards‑based API. An optional Authorized Airspace Corridor service creates secure delivery lanes for pre‑registered commercial drones, distinguishing them from potential threats without interrupting normal operations.
Target Audience
Primary customers are security operations teams at high‑net‑worth estates, corporate campuses, data centers, logistics hubs, and operators of critical infrastructure who require continuous aerial threat monitoring and integration with existing physical‑security platforms.
Features
- Dual‑mode sensor array combining wide‑band RF spectrum monitoring with high‑sensitivity acoustic microphones for precise drone signature capture.
- Real‑time signal‑processing pipeline powered by convolutional neural networks that achieve sub‑1 % false‑alarm rates against avian and aircraft noise.
- Seamless integration via RESTful and ONVIF‑compatible APIs to existing VMS, access‑control, and perimeter‑sensor ecosystems.
- Cloud‑native analytics platform with geofencing, threat‑level scoring, and automated incident ticket generation.
- Authorized Airspace Corridor module that authenticates registered delivery drones, enforces scheduled flight windows, and visualises corridor usage on the dashboard.
- Role‑based access control and end‑to‑end TLS encryption meeting FIPS‑140‑2 standards for data‑in‑transit and at‑rest.
- Scalable deployment architecture supporting single‑site installations to multi‑site enterprise rollouts with centralized fleet management.