Deploy Anywhere. Detect Clearly. Defend Confidently.
Our drone detection platform combines AI with radar and other sensors to confirm threats and accelerate action. Get complete situational awareness with military-grade performance.
Drone Threats Are Everywhere. Coverage Isn’t.
Unauthorized drones disrupt operations at public gatherings, military sites, and campuses. Detecting them is challenging for users, difficult to scale and expensive. This creates a gap between where protection is required and the operator’s ability to protect.

MatrixSpace
360 Radar
We Provide Affordable, Easy to Use and Scalable C-UAS Detection Systems
Any user can protect sensitive spaces, whether large or small from dangerous drones. Stop chasing false alarms. Our AI edge-to-cloud platform connects data from multiple sensors to accelerate response decisions and power autonomous systems.
Early Warning
Early Warning
Early Warning
Early Warning
Early Warning
Early Warning
Multiple Signals, One True Track
Multiple Signals, One True Track
Multiple Signals, One True Track
Multiple Signals, One True Track
Multiple Signals, One True Track
Multiple Signals, One True Track
Enterprise Radar Networks
Enterprise Radar Networks
Enterprise Radar Networks
Enterprise Radar Networks
Enterprise Radar Networks
Enterprise Radar Networks
Early Warning
MatrixSpace AiCloud allows users to define custom alert zones and receive instant notifications anywhere when objects enter restricted airspace. View alerts on any device–smartphone, tablet, PC or central command and control.

Multiple Signals, One True Track, One Pane of Glass
Radar detections automatically cue PTZ cameras for visual confirmation. Those tracks are checked against remote ID telemetry from compliant drones. Targets are labeled as friendly, potential threat, or confirmed threat so you can immediately respond with confidence.
Enterprise Radar Networks
See airspace activity for all your sites in one place. Field users and central teams can zoom into any site together for detailed situational awareness. MatrixSpace AiCloud significantly expands capabilities beyond multi-sensor threat detection.




Fusion 360
Radar, remote ID, and optical sensors work together to detect and track drones. Built for counter-drone use around critical sites.

MatrixSpace AiCloud
The only AI native cloud for seamless multi-sensor counter drone detection and deep airspace analysis.

Expeditionary
Detect, classify, and track airborne objects at the tactical edge, wherever it moves. Threat types are identified automatically, with results shared into existing command systems. All while keeping emissions low.

MatrixSpace 360 Radar
Fixed and portable radar systems designed for low-altitude airspace monitoring, with options for rapid deployment or permanent installation.
Partners
We work with commercial enterprise, public agency, and military partners in the United States, and with allied partners to support counter-drone and public safety efforts.
The use of U.S. federal agency identity does not imply or constitute an endorsement.










Introducing MatrixSpace Portable 360 Radar™: Rapid, Resilient Counter-Drone Detection Anywhere
Protecting airspace security for temporary operations—whether stadium events, public gatherings, expeditionary maneuvers, or sensitive activities in/near secure sites—has never been more urgent. Drone threats are increasing, and traditional radar systems simply aren’t built for the speed and flexibility these scenarios demand.

Open by Design: How Our Software Platform Enables Customer Ecosystems
Everything we build at MatrixSpace is designed for easy integration and extensibility. It allows us precise control our radar systems with precision, embed them with deep technology features, visualize data for users and orchestrate sensor interconnection. It also allows us to quickly integrate our systems with a broad ecosystem of other applications through open APIs.
Ready to Experience AI Sensing?
Everything you need to go from box to actionable detection in less than 5 minutes. Get your Radar expeditionary kit today.











