Airspace security, made measurable
Know what's in your airspace
Millimeter-wave radar engineered to detect, track, and classify the small drones other systems miss: from $50 quadcopters to autonomous swarms.
Deployment-ready
The technology
Detection that doesn't miss what other systems can't see.
Most counter-UAS systems were built for the threats of a decade ago. We rebuilt the stack from first principles — sensors, fusion, and classification — for the small, low-signature drones now showing up at airports, substations, and forward bases.
DroneTector: a sensor stack purpose-built for small UAS.
Deployed standalone at a single site or networked across a distributed perimeter. Scalable from a single tower to a multi-site detection grid, with onboard compute for low-latency detection in real-world environments.
- Sensors
- MM-Wave · Camera · Acoustic
- Targets
- Micro UAS and greater
- Deployment
- Standalone or mesh
- Operating
- All-weather, 24/7
- Sensor
Millimeter-wave radar
Purpose-built millimeter-wave sensors tuned for micro UAS. High-resolution detection of the small, low-signature drones that larger, lower-frequency systems blur past.
- Fusion
Distributed sensor mesh
MM-Wave, camera, and acoustic sensors operate as a single network. Each modality covers the others' blind spots and produces one unified airspace picture.
- Classification
Edge-deployed real-time classification
Classification runs on-device at the sensor, distinguishing drones from birds, vehicles, and weather in real time — collapsing false-positive rates that desensitize operators, with no round-trip to the cloud.
Where Milliray deploys
Three markets. The same hard problem.
- Airports
Stop the next Gatwick.
A single small drone can close runways and cost airlines millions. Conventional radar wasn't designed to see them.
- Perimeter and approach-path coverage
- Integrates with existing tower systems
- Built for false-positive-sensitive ops
- Critical Infrastructure
Protect the grid, the plant, the pipeline.
Substations, refineries, water treatment, and data centers are the highest-value soft targets in the country. Drone intrusions are now routine.
- All-weather, low-altitude detection
- Distributed mesh for sprawling sites
- Tamper-resistant edge hardware
- Defense
Field-grade radar for forward operating sites.
Front-line teams need cost-aligned detection for the new asymmetric threat: $50 quadcopters and improvised weaponized UAS.
- Rapid-deploy and vehicle-mounted
- Designed for cluttered RF environments
- Built and tested with the support of NATO DIANA and UKDI-DASA
Who's building it
A PhD-heavy team on a PhD-hard problem.
Years of radar physics, signal processing, and applied ML combined with field experience built alongside NATO DIANA, UKDI-DASA, and the Royal Academy of Engineering.
CEO
Dr Matthew Moore
PhD, University of St Andrews. Millimeter-wave radar and RF engineering. Royal Academy of Engineering Enterprise Fellow.
CTO
Dr Thomas Doherty
DPhil, University of Oxford. A decade in optical and laser technologies. Royal Academy of Engineering Enterprise Fellow.
COO
Dr Jordina Frances de Mas
PhD, University of St Andrews. Automated reasoning, machine learning, and algorithmic optimization.
Backed by
Talk to the team
Responsible for countering drone threats?
We work with airports, critical infrastructure, defense operators, venues, and VIP protection teams. Send a note — we'll get back the same week.