Fibre-optic controlled drones carry zero radio emissions. Autonomous pre-programmed drones carry zero radio emissions.
Radar cross-sections of Group 1 UAVs are too small for most fielded radar to resolve at operationally useful ranges.
We built DroSonic to close this gap using the one signal that physics guarantees every drone produces. Sound.
Traditional detection systems have fundamental limitations. We built DroSonic on physics that physics cannot defeat.
Requires no radio emission from the drone, making it effective against fibre-optic guided and fully autonomous systems that radar and RF systems cannot detect.
Running on low-cost edge hardware classifies threats locally with no cloud dependency or network requirement.
Uses GCC-PHAT time-difference-of-arrival fusion for accurate localization, degrading gracefully when nodes lose connectivity.
DroSonic is a Denver, Colorado-based research and development company focused on passive acoustic counter-UAS technology. We target detection scenarios where radar and RF systems provide no reliable coverage. This includes electronically contested environments, GPS-denied terrain, and threats using fibre-optic or fully autonomous control.
We are an NVIDIA Inception Program member and a 2026 Colorado SBDC TechVenture Accelerator cohort company.
DroSonic is founded and led by Dr. Ghulam Mujtaba, a computer engineer with a Ph.D. in Computer Engineering from Gachon University, South Korea (Summa Cum Laude, 2021), and over 13 years building and deploying machine learning systems on edge hardware. He completed an NSF-funded postdoctoral fellowship at West Virginia University and is an IEEE Senior Member. He is an Assistant Professor of AI and Data Science at Regis University in Denver. You can contact Dr. Mujtaba directly for partnership and technical inquiries.
Contact: gmujtaba@drosonic.com · gmujtaba@ieee.org
Koraiio LLC, the company behind DroSonic, is fully registered for U.S. federal procurement. Every detail below can be independently verified on SAM.gov.
Legal entity: Koraiio LLC · Denver, Colorado · Verify at SAM.gov
Strategic partnerships accelerating development and market access.
Field tests, milestones, and conference appearances. Follow DroSonic's progress as it happens.
Straight answers about passive acoustic drone detection and where DroSonic stands today.
DroSonic is a passive acoustic drone detection system built by Koraiio LLC in Denver, Colorado. It uses microphones and edge AI to detect, classify, and locate drones by the sound of their propellers, without emitting any radio or radar signal.
Every drone's spinning propellers produce an acoustic signature that cannot be switched off. DroSonic sensor nodes listen for that sound, classify it with compressed neural networks running locally on each node, and fuse GCC-PHAT time-difference-of-arrival measurements across a distributed network of nodes to locate the drone.
Yes. Because DroSonic listens for propeller sound rather than a radio link, it is designed to detect drones that emit no RF at all, including fiber-optic guided drones and fully autonomous pre-programmed drones that RF detectors and jammers cannot see.
No. Detection is passive, so there are no emissions and no spectrum license is required. Classification runs on edge hardware inside each node with no cloud dependency, and the node network degrades gracefully if nodes lose connectivity.
Yes. In September 2026 a DroSonic prototype was tested against live drones at DIRT Days 26.04, a field exercise supported by the Civil-Military Innovation Institute (CMI2) with U.S. Central Command and U.S. Army DEVCOM. DroSonic is now working toward field demonstrations with operational partners. Read about the field test.
DroSonic targets military bases and forward operating base perimeters, critical infrastructure such as power plants, airports, water treatment, and fuel depots, and border and perimeter security, especially in electronically contested or GPS-denied environments.
Yes. Koraiio LLC, the company behind DroSonic, is registered for U.S. federal contracting: SAM.gov active, CAGE code 20L04, UEI JHAPZ8QKD8K9, primary NAICS 541715. See registration details.
We're building toward field demonstration with operational partners. If you work in detection systems or lead a counter-UAS evaluation programme, let's connect and explore what's possible.