Raptor provides an autonomous aerial intelligence platform that secures critical infrastructure by detecting and classifying unauthorized drones in real time.
Funding
Funding not disclosed
Founders
Product
Problem
Critical infrastructure is increasingly vulnerable to unauthorized drone incursions, especially in dense urban airspaces where low‑cost UAVs can be deployed rapidly. Existing security measures are fragmented, often providing only detection or response, and lack the speed and scalability needed to counter coordinated multi‑drone attacks.
Solution
Raptor delivers an autonomous aerial intelligence platform that continuously monitors protected airspace using a fusion of radar, RF sensing, and AI‑driven visual detection. The system identifies and classifies UAV intrusions within seconds, then automatically launches interceptor drones to track and monitor the threat. Operators retain full command through an integrated C2 interface that presents risk classifications and situational data. The platform is designed for rapid, modular deployment via distributed micro‑dock infrastructure, enabling scalable protection of complex, contested urban environments.
Target Audience
Primary customers are operators of critical infrastructure such as airports, power plants, government facilities, and large event venues that require real‑time aerial threat detection and response.
Features
- Multi‑sensor fusion combining standard radar, RF signal analysis, and AI‑based visual recognition for robust detection and classification
- Autonomous interceptor drone swarm that launches and tracks threats without manual piloting
- Integrated command‑and‑control console providing real‑time risk classification, audit trails, and operator override capabilities
- Distributed micro‑dock architecture allowing deployment and activation within seconds at any location
- Scalable design capable of handling coordinated multi‑drone attacks in dense urban airspace
- Secure system architecture with encrypted data channels for protected communications