MatrixSpace Launches Multi-Sensor Drone Threat Detector
MatrixSpace has launched Fusion 360, a portable multi-sensor system for drone threat detection. The system is designed to provide airspace awareness by fusing data from radar, optical, and RF/Remote ID sensors. This product highlights the increasing need for advanced sensor fusion techniques in counter-UAS and airspace management applications.
- Burlington, MA-based MatrixSpace was co-founded in 2019 by CEO Greg Waters, a career CEO in the semiconductor and sensor industry, and Northeastern University professor Jose Martinez Lorenzo. - The company has raised a total of $62.3 million over three funding rounds, with investors including Raptor Group, Intel Capital, OTB Ventures, and L3Harris Technologies. - The system's MatrixSpace AI Platform processes and synthesizes sensor data at the edge, applying contextual intelligence to maintain tracking accuracy even in GPS-denied or RF-contested environments. - Fusion 360 is designed to identify and track non-compliant "dark drones" that lack an RF signature, and its integrated Remote ID scanning can pinpoint a compliant drone's launch origin and pilot location. - The global counter-unmanned aerial system (C-UAS) market was valued at over $2 billion in 2025 and is projected to grow at a CAGR of roughly 26-29% through the next decade. - This product launch reflects a broader industry trend away from siloed sensors and toward multi-layered detection systems that fuse radar, optical, and RF data with AI to improve accuracy and reduce false positives. - In addition to the multi-sensor Fusion 360, the company also offers a radar-only variant called the Portable 360 for applications requiring only low-airspace monitoring. - The system features an open architecture, allowing its data and alerts to be integrated into existing C-UAS platforms and security operations command systems.
