milliray.com provides airspace intelligence through millimeter-wave radar systems engineered to detect, track, and classify small, low-signature drones that conventional radar misses. The company's DroneTector platform combines mm-wave, camera, and acoustic sensors with onboard compute for real-time classification, deployable as a standalone unit or distributed mesh for airports, critical infrastructure, and defense sites.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional counter-UAS radar systems were designed for larger, higher-signature threats and fail to reliably detect the small, low-cost drones now appearing at airports, substations, and forward military bases. These small quadcopters and autonomous swarms can disrupt operations, threaten safety, and cost millions in downtime, yet legacy systems cannot separate them from birds and other clutter in real time.
Solution
milliray.com provides an airspace intelligence platform built from first principles to detect, track, and classify micro and small unmanned aerial systems. The DroneTector sensor stack integrates millimeter-wave radar, cameras, and acoustic sensors with onboard compute for low-latency detection and real-time classification, distinguishing drones from birds and other clutter. The system operates in all weather conditions, 24/7, and can be deployed as a standalone unit at a single site or networked across a distributed perimeter for multi-site coverage. It is tuned for false-positive-sensitive environments like airports and designed for rapid deployment in defense settings, with tamper-resistant edge hardware for critical infrastructure protection.
Target Audience
Primary customers are airports, critical infrastructure operators (substations, refineries, water treatment, data centers), and defense organizations needing reliable detection of small drone threats in low-altitude, cluttered environments.
Features
- Millimeter-wave radar engineered specifically for detecting micro UAS and targets down to $50 quadcopters
- Multi-sensor fusion combining mm-wave, camera, and acoustic inputs for robust detection in cluttered, all-weather environments
- Onboard compute enables low-latency, real-time classification of drones, birds, and other objects without cloud dependency
- Scalable deployment from a single tower to a distributed mesh network covering perimeters and approach paths
- Tamper-resistant edge hardware designed for substations, refineries, water treatment, and data centers
- Rapid-deploy and vehicle-mount form factors for forward military sites, with credentials from NATO DIANA and UKDI-DASA