Smoothly running machinery
Improve uptime in operation and benefit from intelligent maintenance cycles for maximum machine life.
The algorithm ensures that you can get the maximum yield from your machinery with minimum effort and protects you from costs resulting from improper and poorly timed maintenance.
Maximum usage time
Maximizes the productive time of equipment.
Minimum maintenance time
Optimum maintenance intervals through predictive AI models.
Detect irregularities immediately
Direct detection of anomalies and errors through smart algorithms.
Ready to go
Get an individually tailored solution within weeks instead of months based on our ready-made products and modules.
How it works
Flexible use of data
Existing databases are flexibly connected. Sensor data (IoT), e.g. sound, vibration or image, are additionally integrated. A modern cloud infrastructure cleans up the data and makes it available for overview and AI models.
Pattern recognition through AI
AI models detect patterns that indicate anomalies and errors. This also works with a large number of possible variables. If available, documented cases from the past serve as training data.
Effective forecasting
Forecasting models predict the probable time of the next error. The algorithm for this is based on classic Time Series and Long Short-Term Memory Deep Learning models.
Optimized control
The timing for the next maintenance is optimized based on forecasts. The required level of safety against failures is included as a parameter. In this way, the optimization adapts to the business requirements.
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