U.S. Army evaluates MatrixSpace sensors at Flytrap 5.0 in Lithuania

MatrixSpace is providing airspace awareness sensors to Operation Flytrap 5.0, a major U.S. Army-led counter-drone exercise running May 1 through 15 in Lithuania, after the company’s technology won the xTechCounter Strike competition at the preceding Flytrap 4.5 exercise in November 2025.

The company’s participation comes with a competitive pedigree that distinguishes it from other exhibitors and vendors circling the rapidly expanding counter-UAS market. Winning the xTechCounter Strike competition at Flytrap 4.5 means MatrixSpace’s radar and AI platform was evaluated against competing technologies in an operational exercise environment and came out on top — a validation that carries more weight than laboratory testing or vendor demonstrations conducted in controlled conditions. The follow-on participation in Flytrap 5.0 reflects a direct continuity from that November result, with the company now supporting a larger and more complex exercise that includes both U.S. and United Kingdom forces.

Flytrap 5.0 is structured in three distinct phases. A Force-on-Force exercise between U.S. and UK forces ran from May 4 through 8, followed by a Live Fire Exercise on May 9 and 10, with an exclusive media day scheduled at the Pabrade Training Area in Lithuania on May 15, per MatrixSpace’s announcement. Pabrade is a Lithuanian military training installation that has hosted multiple NATO exercises in recent years as alliance members have intensified their presence along the Baltic flank. The exercise brings together what the announcement describes as low-cost, portable drone detection and defeat technologies designed to counter rapidly evolving threats, positioning Flytrap as an evaluation mechanism for fielding decisions rather than a purely academic training event.

MatrixSpace’s specific contribution to the exercise is built around the detection gap that has become one of the most operationally consequential problems in modern ground combat. The company’s release identifies the threat set that current air defense architectures struggle against: RF-silent first-person-view drones that transmit no detectable radio frequency emissions during flight, loitering munitions that pop up at close range with minimal warning, and small unmanned aircraft that operate in the electromagnetic and physical clutter of a contested battlefield. These threats are not adequately addressed by the radar and sensor systems that were designed to detect larger, faster aircraft operating at higher altitudes with more predictable signatures, and the consequence on the battlefield has been documented extensively in Ukraine, where FPV drones and small loitering munitions have caused disproportionate casualties against ground forces whose air defense assets were not optimized for the low-altitude, small-target problem.

The Maneuver Short-Range Air Defense system, designated SGT Stout, is the Army platform that MatrixSpace is specifically supporting at Flytrap 5.0. The M-SHORAD is built on a Stryker armored vehicle chassis and carries a combined weapons package including Stinger missiles, Hellfire missiles, a 30mm cannon, and a laser-based counter-UAS system, giving it layered engagement capability against rotary-wing, fixed-wing, and unmanned aerial threats. The system entered U.S. Army service in 2021 and represents the Army’s primary solution for protecting maneuvering ground forces from aerial threats in the near-term, but its sensor architecture was not designed around the detection characteristics of the smallest and most numerous drone threats now encountered on modern battlefields.

MatrixSpace positions its contribution as extending M-SHORAD’s effective sensor reach forward rather than replacing any of the platform’s existing capabilities. The company’s radar systems are described as man-portable, operational in under ten minutes, and deployable with maneuver elements ahead of the M-SHORAD platforms they support. That forward deployment creates what the company calls a distributed sensing layer that provides earlier detection of low-altitude threats, feeding targeting information to the M-SHORAD shooter with more lead time than the vehicle’s organic sensors alone would generate. More lead time means more engagement opportunities, longer decision windows, and higher kill chain effectiveness against threats that compress reaction times by design.

The AiEdge system delivers real-time detection, classification, and tracking locally at the sensor node, functioning without connectivity to higher-level networks and remaining effective in electronically contested or communications-denied environments where datalinks to higher headquarters are unavailable or have been jammed. That local processing capability is an operational necessity for the front-edge environments where the small drone threat is most acute, since those are precisely the environments where communications infrastructure is most likely to be degraded. At higher echelons, the AiCloud layer fuses inputs from multiple sensors into a common operating picture integrated via open application programming interfaces into existing Army command and control and air defense networks, enabling the sensor-to-shooter cueing that converts a detection into an engagement.

Low-altitude, small, RF-silent drones have been killing soldiers and destroying vehicles in Ukraine for three years. The U.S. Army is testing potential answers, and MatrixSpace won the right to be in that test by beating competitors in the same environment last November.