Burlington, MA-based MatrixSpace has introduced the MatrixSpace Fusion 360, a new addition to its counter-drone portfolio integrating radar, optical, and RF/Remote ID sensors into a unified system for real-time airspace awareness. The new platform collates multisensor data at the point of detection, allowing operators to quickly verify and respond to aerial threats.
As drone activity becomes more complex across commercial and defense sectors, MatrixSpace Fusion 360 provides a refined approach to detection and tracking. The system delivers immediate, correlated data to reduce false alarms and enhance identification of small or low-flying drones. It also distinguishes between hostile “dark drones,” compliant aircraft, and cooperative systems, making for faster, more reliable threat decisions in crowded or GPS-contested settings.
“We take a radar and AI-first approach to low airspace awareness, resulting in a much higher quality output for users,” said Matt Kling, Vice President and General Manager, AI Systems, MatrixSpace. “Fusion 360 replaces a typically siloed approach, which is costly and misses critical drone activities. Our customers require a fail-safe, flexible, affordable solution, without wasting time on false threats.”
AI-Powered, Portable Counter-Drone System
The MatrixSpace AI Platform synthesizes sensor data at the edge and applies contextual intelligence to deliver actionable insight. The fusion-native system maintains radar accuracy even in RF-contested or GPS-denied environments, ensuring consistent tracking and situational awareness.
The highly portable Fusion 360 can be rapidly deployed and easily networked as coverage needs evolve. Its open architecture allows smooth integration into existing C-UAS and security operations. MatrixSpace describes it as the “most affordable layered counter-drone detection, tracking, and identification solution available today.”
MatrixSpace also offers the Portable 360, a radar-only variant providing versatile low airspace monitoring across varied environments. Together, the systems underline the company’s goal of advancing reliable, AI-enabled drone detection at every scale of operation.
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Ian McNabb is a journalist focusing on drone technology and lifestyle content at Dronelife. He is based between Boston and NH and, when not writing, enjoys hiking and Boston area sports.