vCAX saves costs through predictive maintenance
When exactly parts of a machine are broken, and must be replaced? In the networked production of industry 4.0, new systems should predict the accuracy of the production results without predetermined maintenance intervals. We can predict future maintenance with vCAX and our Deep Learning models simply and with a very high level of accuracy. This is because our neuronal networks align the object-related and sensor-related values in real-time and provide precise forecasts as to when exactly which parts of your production machines have to be serviced. vCAX calculates so quickly that we save you a lot of time and money.