Discover unique machine diagnostics

The combined sensing of vibration and acoustic signals with AI data processing makes it possible to detect unexpected machine behaviour instantly with a much broader range of defects than ever before.

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HW IoT device is attached to the machine. The data it senses is then processed and displayed in a simple SW application.

Machines make thousands of different sounds. We’ll help you home in on the most important ones. Artificial intelligence processes the data real-time and you only read the essential information about the condition of the device and specific recommendations for action in the nGuard portal. 

1. Collect sounds and data

IoT devices equipped with machine learning

2. Convert to predictive models

Sound and vibration signals arrow Evaluation of exceptions and trends based on comparison with machine knowledge and nominal behaviour of the equipment being monitored

3. Monitor. Optimize. Discover

Imminent failure triggers alerts based on custom configuration

Predictive maintenance helps save money on preventive maintenance procedures and unplanned downtime.

General shutdowns and machine inspections are replaced by continuous monitoring of the equipment condition. This allows production to run continuously. In addition, this approach helps to extend the service life of the machine. Regular human walk-arounds and interventions are not necessary if the machine is running well. The system itself will advise you when and where to carry out maintenance.

We deliver all-in-one solutions.
From installation to remote support.

1. Easy installation and configuration.

1. Easy installation and configuration.

Service can begin right after installation and configuration. First the system must collect data on standard operation and calibrate AI models, and then it can begin providing alerts on upcoming issues.

Data collection and processing is done through a powerful industrial IoT device. The data transfer to the server is secured by encryption using either LAN or LTE.

ATEX and CE certification

Ensure safe operation of equipment even in hazardous environments.

Edge computing on IoT HW

Delivers fast data processing directly at the device location.

Special sensors for fine anomaly detection

Thanks to a wide range of sound and vibration analysis, we can also monitor devices where traditional methods are not sufficient.

2. Remote online monitoring

2. Remote online monitoring

Whether your machines are at the other end of the floor, the other end of the country or the other end of the continent, you are still just as close to them through the nGuard portal or your own application.

nGuard online platform

For easy display of the current status and history of the monitored device.

Expert remote analysis of machine behavior

Our diagnosticians and applied machine knowledge for artificial intelligence help you accurately determine the condition of the equipment.

Total overview of all machines

You no longer have to go around to all machines to get an overview of the status of all machines in production.

3. Smart Alerts

3. Smart Alerts

With remote monitoring, you don’t need to analyse all of the machine’s audio or all anomalous conditions. It only tracks the ones that are relevant to the machine’s operation. We’ll alert you to those (text, email) and tell you what they mean

Machine learning algorithms with advanced AI

The AI evaluates and interprets the data based on the knowledge of the general behaviour of the machine type and behaviour history of the specific machine.

Applied mechanical machine knowledge

We take the best of mechanical machine knowledge and build on it.

Expert interpretation of anomalies

AI doesn’t always have the necessary expertise. Where we can’t evaluate data automatically, we bring in human experts.

4. Maintenance optimization

4. Maintenance optimization

We will guide the maintenance specialist to the machine and component with a recommendation for a specific service intervention. The maintenance is carried out at a time that is optimal for maintenance. This avoids long preventive or unplanned downtimes.

By incorporating learned AI, you can better plan, prioritize and save the time of your workforce and material costs.

Automatic alerts

for specific machine behaviour

Prioritization and planning

according to the current state of the machines

Savings on operating costs

by eliminating preventive and unplanned outages

5. Digital Transformation of Maintenance

5. Digital Transformation of Maintenance

This system will transform your maintenance with automated machine condition monitoring. The longer you use Neuron soundware monitoring, the more machine conditions your AI knows and the better and more accurately it can communicate information and recommendations for maintenance planning.

With AI, you are assured of continuous service improvement. And thanks to our leading AI specialists and project managers, you achieve your planned production targets.

Resolve impending failures in time

Plan necessary (not preventive) service interventions

Increase safety and production continuity

Wondering how Neuron soundware works? Read more

nEdge IIoT

nEdge specification sheet

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nGuard Platform

nGuard Platform Description

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Case Studies

Specific applications

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Trusted by

maxion wheels logo

You cannot plan production efficiently without predicting unpleasant events in operations.

“Early diagnostic tools are crucial for managing any modern utility company. That is why we believe Neuron soundware technology has contributed to our reliable operation.“

Vice-Chairman of the Board of Directors of ČEZ and Chief Renewable Energy and Distribution Officer
Tomáš Pleskač

Neuron soundware
Neuron soundware
NeuronSW SE
Panorama Business Center
Škrétova 490, Vinohrady
120 00, Praha 2
Czech Republic

ID: 07967373
VAT-ID: CZ07967373
+420 731 104 613
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