UNIFY.C2 adds Squarehead acoustic drone detection to counter-UAS platform

UNIFY.C2 has partnered with Squarehead Technology to integrate passive acoustic drone detection into its command-and-control platform, extending multi-sensor counter-UAS awareness for defense, public safety and critical infrastructure users. The move is aimed at improving detection and tracking in urban, RF-denied and congested environments where conventional systems can struggle.

Why it matters: - The integration adds a non-emitting detection layer to UNIFY.C2’s counter-UAS stack. - Passive acoustic sensing can help operators find low, slow and small drones in environments where RF-based tools are less effective. - The combined system is designed to give defense, public safety and critical infrastructure teams a more complete airspace picture.

What happened: - UNIFY.C2 announced a strategic partnership with Squarehead Technology on September 24, 2026. - The partnership brings Squarehead’s passive acoustic sensing into the UNIFY.C2 command-and-control platform. - The companies said the integration supports real-time detection, classification and tracking of unmanned aircraft systems. - The platform now fuses acoustic detections with RF, radar and electro-optical data in a single operational interface.

The details: - UNIFY.C2 said the integration strengthens its multi-sensor fusion architecture with passive drone detection. - The system is aimed at dense urban areas, RF-denied environments and congested electromagnetic environments. - Jerry McGee, CEO of UNIFY.C2, said the platform was built to be the central command-and-control layer for layered counter-UAS architectures. - McGee said the Squarehead integration extends the platform’s ability to detect and track threats where RF-based systems alone are not sufficient. - Espen Bøch, general manager defense at Squarehead Technology, said acoustic sensing plays a critical role in identifying drones that are difficult to detect with traditional methods. - Bøch said the company’s Discovair G2+ sensor can be combined with complementary sensors in a unified command-and-control environment. - UNIFY.C2 says the platform supports defense, government, public safety and critical infrastructure missions. - UNIFY.C2 integrates data from diverse technologies to deliver real-time situational awareness, coordinated response, incident replay and reporting. - The platform supports cloud, on-premises and air-gapped deployments. - UNIFY.C2 is developed by Spatial Persistent Software, also known as SPS ARS, LLC. - Squarehead Technology is a Norwegian privately held company headquartered in Oslo with a subsidiary in North Carolina. - Squarehead says Discovair G2+ can detect all drones, including drones designed to hide their presence. - Squarehead also says its technology can support broader defense applications and domains. - The company says advanced AI algorithms provide automated alerts and alarms for drones today and other acoustic events in the future. - UNIFY.C2 included a website for more information: More information. - Squarehead Technology included a website for more information: More information. - SPS Aerial Remote Sensing listed a LinkedIn page: Company LinkedIn.

Between the lines: - The deal reflects demand for counter-UAS systems that do not rely on a single sensor type. - Combining acoustic, RF, radar and electro-optical inputs can reduce blind spots and improve operator confidence. - The sensor-agnostic approach positions UNIFY.C2 to adapt as drone threats and operating environments evolve.

What's next: - UNIFY.C2 and Squarehead Technology are positioning the integration as a scalable option for layered counter-UAS deployments. - The companies are targeting customers that need faster decisions in complex airspace and contested electromagnetic conditions. - The partnership suggests further expansion of multi-sensor command-and-control tools as drone detection needs continue to grow.

The bottom line: - UNIFY.C2 is broadening its counter-UAS platform with passive acoustic detection to make drone spotting more resilient in hard-to-monitor environments.