New edge-to-cloud software layers fuse radar, Remote ID, ADS-B and optical feeds into a single, real-time low-altitude airspace picture for C-UAS operators.
MatrixSpace has rolled out a major software update to its MatrixSpace AI Software Platform, adding real-time multi-sensor, multi-drone detection for counter-UAS missions from the edge to the cloud. The company positions the release as a way to move beyond single-sensor plots toward a fused operational picture of low airspace over public events, critical infrastructure and contested environments.
The platform is organized around two components: MatrixSpace AiEdge, an intelligent sensor operating layer embedded in each MatrixSpace system, and MatrixSpace AiCloud, a software-as-a-service environment that aggregates data from distributed AiEdge-enabled sensors. AiEdge runs at the point of collection, detecting, classifying and tracking multiple object types while filtering out clutter and correlating inputs from radar and other sources. AiCloud sits above those nodes to present a single, unified view of low-altitude activity, alerts and warnings across all protected sites and devices.
In the new release, AiEdge fuses detections from MatrixSpace radars with complementary sensors such as Remote ID, ADS-B and optical cameras into a single real-time track, rather than separate feeds. At the edge, the software creates a common data representation and can automatically cue pan-tilt-zoom cameras for visual confirmation before forwarding high-confidence tracks into the cloud for enterprise-level analysis and archiving. The platform is described as sensor-agnostic, with open APIs for integration into existing C2 and security systems.
“Most traditional systems rely on noisy, exotic sensors with siloed, cumbersome command and control structures that hinder decisive action,” said Matt Kling, vice president and general manager, AI systems at MatrixSpace. “Using AI to corroborate multiple inputs into one clear signal is the beauty of the MatrixSpace AI Software Platform, empowering customers to fully meet the threats we’re seeing today and in the future.”
On the cloud side, AiCloud combines fused, real-time data from radar, optical, ADS-B and Remote ID sensors into a single operational view that can be accessed from site-level consoles or a central command location. Within that view, whitelisting and threat classification workflows label objects as friendly, unknown or hostile and generate alerts based on confidence thresholds and user-defined zones. Local sensors continue operating autonomously when backhaul connectivity is interrupted, with data synchronized to AiCloud once links are restored.
The edge-to-cloud software is designed to sit above MatrixSpace’s existing radar hardware, including its 360° low-altitude surveillance systems and portable expeditionary kits, which are already aimed at stadiums, critical infrastructure, border areas and other near-term C-UAS use cases. With the new release, the company is effectively pushing more of the detection, fusion and scoring work to the sensor layer while using the cloud for fleet-scale coordination, logging and analysis across multi-site deployments.
