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The xTechCounter Strike winner deploys portable AI-powered radar to strengthen low-altitude airspace awareness for M-SHORAD units in Pabradė. MatrixSpace is supporting the U.S. Army’s Flytrap 5.0 counter-drone exercise from May 1 through May 15, 2026. The Massachusetts-based company announced its participation on May 12. The deployment follows its xTechCounter Strike win during Flytrap 4.5 in November 2025.

MatrixSpace is supporting the FlyTrap 5.0 training exercise (May 1-15, 2026) with its sensor providing rapidly deployable airspace awareness after winning the xTechCounter Strike competition in Operation Flytrap 4.5 in November 2025. Project Flytrap 5.0 is a major U.S. Army-led counter-unmanned aircraft system (C-UAS) exercise taking place in Lithuania in May. “This initiative brings together US and UK forces to test and validate new, low-cost, and portable drone detection and defeat technologies, designed to counter rapidly evolving threats on the battlefield.” “The Maneuver Short-Range Air Defense (M-SHORAD), designated as the “SGT Stout,” is a U.S. Army system designed to protect maneuvering forces from unmanned aircraft systems (UAS), rotary-wing, and fixed-wing threats,” said the company. “But today’s fight is increasingly dominated by low-altitude, small UAS that are hard to detect and even harder to track. These threats operate in the clutter—RF-silent FPVs, loitering munitions, and pop-up drones that compress engagement timelines and often evade traditional sensors”.

MatrixSpace is providing enhanced airspace awareness during the U.S. Army-led Flytrap 5.0 counter-drone training exercise taking place May 1–15, 2026, in Lithuania. The company’s participation follows its success in the xTechCounter Strike competition during Operation Flytrap 4.5 in November 2025.

Matthew Kling, VP and General Manager of AI Systems at MatrixSpace, leading development of the AiCloud and AiEdge platforms, answers five very good questions form the executive editor of Inside Unmanned Systems.

Matt Collins speaks with Matt Kling, VP and general manager of AI Systems at MatrixSpace. The two discuss how the Safer Skies Act has shaped demand for counter-UAS technology, why gaps still exist between what agencies need and what's being deployed, and how MatrixSpace is approaching the counter-UAS challenge as a radar-first, hardware-and-software hybrid company.

Unlocks decisive drone detection for evolving airspace. Building on its award-winning portable AI-sensing radar for counter UAS, MatrixSpace announces a major update to its edge-to-cloud MatrixSpace AI Software Platform. The platform now supports multi-sensor, multi-drone detection in real time for counter UAS applications. It delivers true threat assessment and early warning – detecting, tracking and identifying – to empower on-site and remote operators to make split-second decisions regarding airspace activity. The platform is sensor agnostic and easily integrated into existing systems through open APIs.

MatrixSpace extends its advanced, portable drone detection portfolio with the introduction of the multi-sensor MatrixSpace Fusion 360, verifying threats by fusing radar, optical, and RF/Remote ID sensor data into a unified view. Fusion 360 delivers trusted counter-drone awareness by fusing radar, optical, and RF/Remote ID sensors into a single, authoritative airspace picture—so operators can confirm threats quickly and act with confidence.

Airspace is no longer empty. It is active, layered, and increasingly unpredictable. The rise of small unmanned aerial systems has introduced a new category of threat — one that moves fast, flies low, and often remains invisible to traditional detection systems. To respond to this shift, security technology must evolve. Not incrementally, but fundamentally. MatrixSpace Portable 360 Radar represents exactly that kind of shift.
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MatrixSpace is transforming sensing in the outdoors. Fueled by a mission to protect and secure spaces anywhere, our technology and people are innovating to meet the challenges of modern conflict, public safety, and autonomous transportation.



