Remote machine monitoring for better OEE
Have an instant overview over your entire machine fleet. Improve utilization on your machines.Book a demo
Increase your overall
equipment effectiveness by 5–20 %
Poor utilization of machines in production can be solved by implementing machine monitoring technology jointly with predictive maintenance approach.
A recent studies show that unplanned downtime costs industrial manufacturers an estimated $50 billion each year. Be the one who saves.
Use shop floor data wisely:
Connect IoT hardware with a cloud to process information from all machines you have on a shop floor. Here is what you get:
Energy cost savings
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.
Ready to take your production
to the next step of digitalization?
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
User-friendly dashboards to support you
in correct decision making
A multifunctional monitoring and diagnostics platform.
Keep track of the status of machines and components, check reports and see trends in one place.
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.
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.
The most frequent use cases
Monitore the machine state constantly and objectively for calculating essential machine KPIs like quality, availability, utilization, and OEE, among others.
are too often or too late
Wherever acoustics, vibration or other sensors sent the data about maintenance need, you can order your service procedure. In time with no long spare parts on-site storage.
When the assets components are maintained according to actual state, the lifespan of the whole machine prologs. Oil lubrication, bearings service or motor shaft control can help to operate the machine longer.
There is a reason why to choose
World’s Top 5 AI
Deep machinery knowledge
Learn more about Neuron Soundware
Take a closer look at our nEdge IoT hardware, nGuard software platform and case studies.
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 %.