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Discover our hardware for audio diagnostics
Our current hardware is a result of six years of development. We implemented dozens of installations in different environments and installed hundreds of sensors. By the nature of what we do, the quality of audio processing has always been essential to us – digitizing audio is not easy, we process large amounts of data using the special equipment to get excellent results.
Increase your production uptime and protect your delivery reputation
ATEX and CE certification

Special sensors for a fine anomaly detection
Quick non-invasive installation
Edge computing on IoT HW

Secured communication through data encryption

Attachable to any device or component
Industrial device nEdge 4|21 and nEdge 4|22 AD*
In 2022 we launched IoT sound device nEdge. This device brings together all layers of IoT architecture (sensing, data processing a network layer) to one physically connected object. The network layer works as an integrational element. Within the data processing run complex machine learning algorithms. And the sensing layer via an ADC connects to sound or other sensors.
Industrial device nEdge 4|21 and nEdge 4|22 AD*

Industrial device nEdge 4|21 and nEdge 4|22 AD*
The device records and process sound and other input data. The data and results are also uploaded using LAN to NeuronSW nGuard platform. On-site integration can be done via SFTP, or via MQTT.
Sensitive and durable audio sensors
We have sensors for different situations – we select them specifically for a given project and situation. Below you can see what types we work with most often. But we can also connect other sensors when needed as well (e.g. current, temperature, energy consumption…).
Piezo-ceramic structure-born sound sensors

Piezo-ceramic structure-born sound sensors
Very durable piezo-ceramic structure-born sound sensor operating in different environments with temperature −30 °C to 110 °C.
Industry-standard vibro-diagnostic sensors

Industry-standard vibro-diagnostic sensors
Industry-standard vibro-diagnostic sensor for collection of vibration data.
Directional air-borne sound sensor

Directional air-borne sound sensor
A directional air-borne sound sensor (microphone) is good for the collection of audible to ultrasonic acoustic data when it is not possible to connect sensors directly to the monitored asset – for example, for parts that rotate and nothing can be screwed there.
All other kinds of additional signals
To eliminate random effects on one variable, we add the possibility of installing other types of sensors for measuring variables such as temperature, electric current, etc.
Current sensors

Current sensors
Non-contact DC current sensing. High isolation between input and output. Unipolar or Bipolar Measurement. Input range up to 2000A.
Temperature sensors

Temperature sensors
Temperature sensors are made from NTC thermistors, cast in a metal shell with thermal grease. Large electric resistance corresponding to double insulation requirements. Thermal contact between thermistor and temperature sensor environment.
Speed sensors

Speed sensors
Durable, cost-effective solution in most harsh environments. Omni-directional sensor to target orientation. Digital output Small size.
Pressure sensors

Pressure sensors
For pressure measurement in the range of 0-10 bar with 4-20 mA output signal. The sensor is designed for measuring pressure in water and water-glycol mixtures.
Flow meters

Flow meters
The small turbine meter is ideal for the accurate measurement of low viscous and non-aggressive fluids. Most suited for flow rates from 0,5 to 35 l/min.
Tilt sensors

Tilt sensors
Application: 1-Axis Position Monitoring and Leveling. Measurement Range 360°. Absolute Accuracy 0.10°. Supply Voltage 10 – 30 VDC.
Why Neuron soundware?
Conventional visual and instrumental inspection will not protect your machinery from failures.
We will. Let us help you stay in charge.
World’s Top 10 AI
Deep machinery knowledge
Experienced team
Why Neuron soundware?
Via extremely precise sound analysis and AI, the impact is maximum quality control, safety & compliance, predictive maintenance, thus increasing productivity, energy saving, and reducing downtime and the scrap rates normally associated with manufacturing operations.
Optimize machine availability and quality of output. Reduce maintenance costs and energy consumption
Prevent unscheduled production shutdowns

About 60 % of breakdowns are related to unforeseen events.
Eliminate the high costs of maintenance, and extend equipment lifecycles

Increase production by 5 % to 20%, while improving safety and compliance.
Automate maintenance strategies

Make your maintenance strategies more efficient, digitised and automated. Reduce operating cost by 35 %.