Detect Drones Where Others Go Blind
DroSonic uses passive acoustic sensing and edge AI to detect drones where radar and RF systems fail: in electronically contested environments.
DroSonic uses passive acoustic sensing and edge AI to detect drones where radar and RF systems fail: in electronically contested environments.
Every drone has spinning propellers. The acoustic signature is fundamental physics that cannot be silenced, jammed, or spoofed.
Listens to propeller acoustics without active emissions or spectrum license requirements.
Compressed neural networks run locally on each node, eliminating cloud dependency.
Detects and classifies threats in milliseconds using on-device processing.
Works where RF-jammed, GPS-denied, and electronically contested.
Scenarios where traditional detection systems have coverage gaps.
Forward operating bases and perimeter security in contested RF environments.
Power plants, airports, water treatment, and fuel depots vulnerable to drone intrusion.
Distributed linear arrays for extended perimeter protection and remote deployments.
Strategic partnerships accelerating development and market access.
DroSonic combines passive acoustic sensing with edge AI to solve a critical gap in modern drone defense. We focus on one problem: detecting drones in scenarios where traditional detection technology fails.
Our approach leverages the fundamental physics of drone propellers. Acoustic signatures cannot be switched off, jammed, or spoofed, enabling detection in electronically contested environments where RF and radar systems provide no coverage.
Learn Our Story →We're speaking with DoD program offices, defense integrators, and investors evaluating counter-UAS technology.
You can find us in
Denver, Colorado