TL;DR
Czech startup Neuron Soundware built Sound Shield, an AI-enabled acoustic drone detection system that uses sensors costing between 100 and 150 euros that consume 1 W each.
Czech startup Neuron Soundware has built an AI-powered acoustic detection system called Sound Shield that identifies drones by the sound of their engines. using microphone sensors that cost between 100 and 150 euros each. The system is designed as a low-cost, passive alternative to radar to detect low-flying drones over cities, infrastructure and military installations. The company, which has spent the last decade using AI to listen to industrial machinery for clients such as Airbus, Siemens and BMW, is now applying the same acoustic analysis technology to airspace defense.
Sound Shield works by deploying small sensors called nEdge Minis, each consuming just 1 watt of power, that continuously listen for signatures from the drone’s motor. The sensors report to a computing platform powered by Nvidia’s Jetson modules, which runs neural networks on the device to compare incoming audio to a library of known drone acoustic profiles. When the system detects a threat, it alerts a centralized command platform with the drone’s estimated speed, altitude and direction of movement.
The approach exploits a fundamental limitation of drone design. Radar-absorbing coatings and stealthy shape can make a drone nearly invisible to traditional detection systems, but no current technology can silence the mechanical noise from rotors and motors. Each drone produces a distinct acoustic signature that Neuron Soundware says its AI can identify in real time across multiple sensor positions.
Pavel Konečný, founder and CEO of Neuron Soundware, presents Sound Shield as a dual-use system that would be implemented first in electrical transformer stations. “Mainly, they can continuously monitor the health of the transformer itself and other critical components of the distribution network, detecting internal discharges, oil leaks or other operational anomalies.“Konečný said.”At the same time, their microphones listen to the sky.“
The dual-use angle is commercially significant. Rather than asking governments to fund an independent drone detection network from scratch, Neuron Soundware proposes leveraging infrastructure that already needs acoustic monitoring. The company argues that this would reduce the number of sensors needed and provide governments with a comprehensive air defense layer with minimal additional installation and energy costs.
European governments struggle to achieve affordable drone detection After the wars in Ukraine and Iran they demonstrated how cheap unmanned aerial vehicles can destroy billions of dollars of military equipment. Ukraine’s Operation Spiderweb in June 2025 used $2,000 drones to destroy Russian strategic bombers worth an estimated $7 billion, according to Ukrainian officials, although Russia claimed much smaller losses. The asymmetry between the cost of drones and the damage they cause has made counter-drone systems one of the fastest-growing defense acquisition segments.
The counter-drone market is expected to triple from approximately $6.6 billion in 2025 to $20 billion in 2030. Startups across Europe are raising capital to develop sovereign counter-drone capabilitiesand NATO members along the border with Russia agreed to build a drone detection wall that will stretch from Norway to Poland. Sound Shield is positioned as a complementary layer to radar and radio frequency detection rather than a replacement.
The economic argument is simple. Modern radar systems capable of detecting small drones cost orders of magnitude more than a network of nEdge Minis and actively broadcast their position each time they sweep. Sound Shield’s sensors are passive, meaning they do not emit any signals that an adversary can detect or interfere with.
The trade-off is range and reliability.
Acoustic drone detection has well-documented limitations that the source material does not address. Most acoustic systems are effective up to approximately 300-500 meters under favorable conditions, and performance degrades substantially in wind, rain, or noisy urban environments. Ambient noise from traffic, wildlife, and industrial equipment can cause false positives.
Newer drone models are also being designed with quieter motors that reduce the acoustic signature available for detection. Neuron Soundware claims its nEdge PRO computing module can aggregate data from sensors within a 20-kilometer radius, but no independent evidence of that range claim has been published.
The company has raised approximately €7.4 million to date from investors including Inven Capital, J&T Ventures and Lead Ventures, and received €7 million from the European Innovation Council. It has more than 130 industrial facilities on four continents, acoustically monitoring machines. Whether the jump from listening for bombs and turbines to tracking hostile drones in contested airspace is as transferable as the company suggests remains to be demonstrated in real-world conditions.
