Predictive Maintenance

Optimize your maintenance schedule, prevent unexpected equipment breakdown and increase efficiency

Request a demo

Predictive Maintenance

Optimize your maintenance schedule, prevent unexpected equipment breakdown and increase efficiency

Request a demo

The challenges

Many companies don’t know where to start when it comes to optimizing maintenance schedules, and predictive maintenance.

The most critical task is preventing unexpected equipment breakdown and predicting the remaining useful life of a part or an industrial machine based on real-time data

The solution

The solution

The solution

Return on Investment (ROI)

Reduced Downtime

50% Less downtime with an IoT based predefined maintenance schedule.

Reduced Operational Costs

10-30% less spent of operational costs.

Visibility

24/7 asset monitoring.

Return on Investment (ROI)

Reduced Downtime

50% Less downtime with an IoT based predefined maintenance schedule.

Reduced Operational Costs

10-30% less spent of operational costs.

Visibility

24/7 asset monitoring.

The Zerynth IoT Platform

Thanks to Zerynth technology, any machinery and industrial equipment can be digitalized in a flexible, scalable and efficient way.

Explore our products

The Zerynth IoT Platform

Thanks to Zerynth technology, any machinery and industrial equipment can be digitalized in a flexible, scalable and efficient way.

Explore our products

Industrial IoT Packages

Get connected, get insights, get optimized. Explore our turnkey packages,
and find the solution that fits with your needs!

Get Started Today!

See how we enabled Vitesco Technologies Italy to reduce their machines’ downtime and predict malfunctions of pneumatic valves within 24h.

The Zerynth team provided Vitesco Technologies Italy with a local Industrial IoT system for real-time monitoring and predictive maintenance. We built it using an industrial-grade 4ZeroBox control unit connected directly to the cloud via Zerynth Device Manager.

Case study

See how we enabled Vitesco Technologies Italy to reduce their machines’ downtime and predict malfunctions of pneumatic valves within 24h.

The Zerynth team provided Vitesco Technologies Italy with a local Industrial IoT system for real-time monitoring and predictive maintenance. We built it using an industrial-grade 4ZeroBox control unit connected directly to the cloud via Zerynth Device Manager.

Case study

How would building a predictive maintenance system for a food production plant look like?

Get inspired

Using Zerynth’s industrial IoT solutions, all the necessary sensor data is available in one real-time dashboard. For example, the monitored vibration and noise levels of all machinery can indicate if some of the parts are not working properly. This is a great insight that is difficult to capture. So, if one part of the machine is not vibrating at a frequency that it had been previously, it can be inspected right away instead of when it breaks or stops working. If you have this kind of data available, you could schedule maintenance only when the machine actually needed it, and avoid the costs of scheduled maintenance appointments when they are not necessary. Unplanned downtime is now a thing of the past with data analytics like this. All replacement parts can be ordered once an irregularity is detected, and not when some parts stop working completely. In this way, your production costs are reduced, especially when something like food production is involved. Production plants can avoid their food supplies from spoiling, or exceeding their optimal freshness phase, with the avoidance of unplanned downtime.

How would building a predictive maintenance system for a food production plant look like?

Get inspired

Using Zerynth’s industrial IoT solutions, all the necessary sensor data is available in one real-time dashboard. For example, the monitored vibration and noise levels of all machinery can indicate if some of the parts are not working properly. This is a great insight that is difficult to capture. So, if one part of the machine is not vibrating at a frequency that it had been previously, it can be inspected right away instead of when it breaks or stops working. If you have this kind of data available, you could schedule maintenance only when the machine actually needed it, and avoid the costs of scheduled maintenance appointments when they are not necessary. Unplanned downtime is now a thing of the past with data analytics like this. All replacement parts can be ordered once an irregularity is detected, and not when some parts stop working completely. In this way, your production costs are reduced, especially when something like food production is involved. Production plants can avoid their food supplies from spoiling, or exceeding their optimal freshness phase, with the avoidance of unplanned downtime.

Get Started!

Book your personalized demo and speak with one of our IoT experts to discover the Zerynth Platform’s key features and the benefits you can realize.

Request a demo

Contact Us

For any question or inquiry, please contact us and a member of our team will reach out to you soon!

Contact Us

Get Started!

Book your personalized demo and speak with one of our IoT experts to discover the Zerynth Platform’s key features and the benefits you can realize.

Request a demo

Contact Us

For any question or inquiry, please contact us and a member of our team will reach out to you soon!

Contact Us