Real-time condition monitoring for machine failure prevention

Real-time condition monitoring for machine failure prevention

Improve decision making & planning in your production flow.

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Improve total production by 30%
using condition monitoring

Apply advanced analytics to manufacturers’ data to optimize the productivity of individual assets.

Boost overall manufacturing operation availability by deploying IoT in conjunction with other tools to enable operators to maximize their productivity and profitability. (McKinsey 2017)

Reduce unplanned outages with smart AI
and diagnostican evaluated alerts

Sensors connected to IoT device continuously collect data about the state of an asset. The data are interpreted by AI, which sends alerts to nGuard platform, when character of the signal indicates coming mechanical failure or if the critical levels of vibrations/noise or are exceeded.

Reliable operations

Monitoring and diagnosing a machine’s condition before it becomes problematic allows to solve issues soon and helps to keep your operation reliable.

Real-time failure detection

At the first sign of a malfunction, the nGuard alerts notify site teams. The responsible person can check the alert in the portal and knows exactly where to focus the maintenance effort.

Energy and equipment cost savings

Instead of replacing the entire piece of equipment due to critical failure, a repair is made before failure, and the cost is minimized to the price of the component and the labor needed for the repair. Well-performing assets are also more efficient and save energy costs.

5 steps for confident online
condition based maintenance

Neuron soundware provides you with all necessary equipment and knowledge to start real-time remote monitoring within hours from nEdge IoT device delivery.

The automated data collection allows you to manage your maintenance based on valid and accurate data and thus optimize your maintenance processes.


Easy setup allows for the service to start in a few days.


24/7 data collection, immediate results in nGuard platform.


Continuous algorithm improvement.


Smart alerts allow you to focus your efforts.


Full OEE and utilization data.

Decided for asset maintenance control automation?

Follow our customers’ experience
with your plant

“This Neuron system is a vital tool that will be very helpful in the future for Maxion”

“The cost savings of using the predictive analytics and alert detection alone will more than pay for the cost of the service not to mention the costly rental fees and downtime that is accrued when compressors go down. Mieszko and his Team provide a great service and product that is well appreciated by the Maxion Team.”

Industrial Control Specialist
John Harper

maxion wheels logo

All insights you need to see.
At one dashboard

Easily monitor the condition of your assets.
Clear and user-friendly dashboards provide you with all data needed for reliable operation and precise decision-making.

To make data driven decisions we provide you all machine data processed to easy to read information from any device

Identify bottlenecks through machine health fleet management
All machines at one management dashboard. Uptime and downtime over all assets to help you improve production efficency.

Transparent machine history at one look
Investigate whether the machines were working according to the plan. Check the detected alerts.

Component-level diagnostics
The monitoring of complex machines with multiple components requires the installation of several sensors. Use sensor level drill-down view to understand component level health.

Learn from the most recent use cases
how we can apply the technology also in your case

Extending lifespan of metro escalators

Escalators in a subway transport a million passengers every day. With a condition monitoring system, the operator prevents failures and optimizes maintenance schedules.

Repair costs decrease on cogeneration units

When cogeneration units break, the trouble is that not all parts and functions are available on demand. By monitoring the condition of these assets, the operator saves on repair costs as well as downtime costs.

Robotic arm monitoring with augmented reality

Machine learning algorithms analyze acoustic patterns in real-time and thus detect mechanical wear or malfunctions of the robot at an early stage. This can significantly minimize the unplanned downtimes in the production process.

There is a reason why to choose
Neuron soundware

World’s Top 5 AI

Sound detection + AI = powerful technology for predicting upcoming failures. We proved that. Globally.

Deep machinery knowledge

AI combined with traditional mechanical knowledge combines to make a powerful tool to detect anomalies earlier than any human ear.

Experienced team

35 types of machines, 8 industries, 3 continents, 6 years of global experience

Wondering how our technology works?

nEdge IIoT

nEdge specification sheet
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nGuard Platform

nGuard Platform Description
Read More…

Case Studies

Specific applications
Read More…

Trusted by

maxion wheels logo
Neuron Soundware
Our Office
NeuronSW SE
Panorama Business Center
Škrétova 490, Vinohrady
120 00, Praha 2
Czech Republic

ID: 07967373
VAT-ID: CZ07967373
+420 774 989 993
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