Pre­dic­tive Main­te­nan­ce

Avoid equipment failure

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.

Maximizes the productive time of equipment.

Maximum usage time
Maximizes the productive time of equipment.

Optimum maintenance intervals through predictive AI models.

Minimum maintenance time
Optimum maintenance intervals through predictive AI models.

Direct detection of anomalies and errors through smart algorithms.

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.

A picture of a house

Contact

tetrel GmbH
Mehringdamm 27
10961 Berlin

+49 30 23322171
contact@tetrel.ai

Expert Call

Schedule a call

Get an offer

Request now