CUAS Low Value Sensing Problem – sUAS Information

10 firms advance scalable, cost-effective options to bolster U.S. counter-sUAS capabilities and meet evolving DOD strategic priorities

 The Protection Innovation Unit (DIU), in shut collaboration with U.S. Northern Command (USNORTHCOM), U.S. Military, U.S. Navy, U.S. Marine Corps, and U.S. Indo-Pacific Command representatives, right now introduced the choice of ten finalists to advance within the Counter-small Unmanned Plane System (C-sUAS) Low-Value Sensing (LCS) problem. These chosen firms, chosen towards a rigorous set of standards from 118 excellent submissions, will transfer ahead to exhibit their sensor applied sciences throughout USNORTHCOM’s Falcon Peak train in September.

“The evolving risk from unmanned aerial programs calls for that we leverage each device at our disposal – from cutting-edge business options to sturdy partnerships throughout authorities and business,” mentioned DIU Director Doug Beck. “This problem instantly helps DOD’s strategic priorities by tapping into non-traditional protection firms to develop scalable, cost-effective sensing options that assist our forces at house and overseas to determine threats with the velocity and constancy wanted to counter them.”

The options chosen signify a various vary of sensor modalities, together with radio frequency passive detection, energetic radar, acoustic, optical cameras, infrared cameras, and a number of other blended modality applied sciences. The chosen approaches have the potential to ship vital worth in comparison with present DOD programs for key protection areas, at a possible price financial savings of 50-80 p.c in whole price of possession. The ten finalists chosen are:

• BLUEiQ
• CHAOS 1
• Fortem Applied sciences
• Guardian RF
• Hidden Degree
• MatrixSpace
• REVOBEAM
• Squarehead Expertise
• Teledyne FLIR Protection
• Thalrix

Launched in Might 2025, the LCS problem was designed to deal with a vital want: to enrich beautiful sensor programs with inexpensive, distributed sensing applied sciences that may scale. Defending the homeland from small UAS threats requires broad situational consciousness with attain, redundancy, and resiliency. 

“These ten finalists signify the forefront of sensor innovation, demonstrating how numerous technological approaches can improve our layered protection,” mentioned Director of Replicator 2, David Payne. “Our collaboration with USNORTHCOM, the US Military, and different companions has been instrumental in aligning this effort with the Division’s most important sensing wants. Finally, this prize problem is about serving to to offer the instruments to increase cost-effective sensing capabilities to our most important installations.”

Chosen finalists now advance to dwell demonstration and testing at USNORTHCOM’s Falcon Peak 25.2 train. Falcon Peak will present a real-world check of those low-cost sensing options and the prize purse can be distributed based mostly on efficiency on the occasion. 

Past the prize cash, high performers can also be thought of for follow-on alternatives, together with Different Transaction (OT) agreements, a Cooperative Analysis and Improvement Settlement (CRADA), and direct transition into operational use, accelerating the deployment of those capabilities and making the most effective tech out there to the warfighter with the velocity and scale required.

Matthew Kling, VP and GM of AI Techniques at MatrixSpace, “We’re honored to be a finalist within the @DIU Low-Value Sensing Problem, addressing the pressing must scale counter-UAS operations, from single websites to nationwide borders. MatrixSpace affords the one commercially out there, distributed radar community for persistent, low-altitude monitoring. Combining superior radar processing, distributed information orchestration and sensor administration, and AI-driven classification, we empower governments and enterprises to safeguard folks, infrastructure, and nationwide pursuits with unmatched scalability, resilience, and cost-versus-performance.”

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