MatrixSpace: Creating Safer Places
Intel Capital’s view is that the next step-function in AI sensing will be driven by diverse multi-sensor approaches combined with AI insights, edge processing and high-speed connectivity. Together these elements allow AI sensing solutions to obtain better data, to improve the accuracy of insights through sensor fusion and to deliver those insights fast enough to make a difference.
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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.
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.
MatrixSpace was selected as one of 10 finalists for the DIU's Low-Cost Sensing challenge for counter drone detection, addressing the lack of affordable scalability in traditional defense sensor systems.