MatrixSpace Wins U.S. Army xTechCounter Strike Competition for AI Radar
MatrixSpace has been named the active sensor winner in the U.S. Army’s Operation Flytrap 4.5 xTechCounter Strike competition, announced in a press release. The company was the only active sensing provider selected among 15 finalists, highlighting its portable AI-enabled radar capabilities for counter-unmanned aerial system (C-UAS) missions.
MatrixSpace demonstrated its Expeditionary AI Radar and 360 AI Radar systems, powered by AiEdge software, which provide rapid setup and integration into the Army’s FAAD-C2 command network using the NATO-standard SAPIENT protocol. The systems deliver real-time situational awareness at the tactical edge.
Operation Flytrap is an Army initiative designed to fast-track innovative C-UAS technologies through live soldier testing and accelerated acquisition pathways. Four companies were selected overall, each receiving a $350,000 award and placement into the new Global Tactical Edge Acquisition Directorate (G-TEAD) Marketplace to enable procurement by U.S. and NATO partners.
MatrixSpace’s radar solutions are designed for portable, all-weather airspace monitoring, offering AI-powered detection and classification for aerial and perimeter security applications.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Defense
Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle Oct 15 Bridge Defense Wins Software Agreement With Up to $63 Million in Initial Capacity Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 US Air Force Extends Use of PTC Servigistics Oct 15 Ukrainian Strikes Disrupt Yandex Services Across Central AsiaDefense AI Brief
Your weekly intelligence briefing on the technology shaping modern warfare and national security.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
ASI Wins $99 Million US Army Command and Control Contract
U.S. Army Awards webAI $14.5 Million Tactical AI Contract
ARCYN Defense Joins MassChallenge Security Program
Reveal Technology Launches Farsight 2.0 for Army Terrain Analysis
V2X to Show AI Aircraft Readiness Platform at AUSA 2026
Daily AI Brief: the AI news that matters, in your inbox.