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From the recordings of the process data during machining, we generate digital models, from which we use intelligent analytics to determine workpiece quality,

Being able to virtually calculate and optimize productivity and process quality.


All available target data from CNC control, drive

Ben and external data are recorded contextualized with the sensor data at a frequency of up to 15,000 Hz. From this we generate digital models for a better understanding of quality, productivity and production processes.


The cost pressure in today's industrial production

requires constant optimization. We need faster ones

and more stable development and production processes

at the same time a significant reduction in unit costs.

We expect a quantum leap along this path

the intelligent recording and analysis of large

Amount of data. The use of artificial intelligence,

Concrete processes of machine learning promise

with great potential. We already work with high

pressure on it to develop this potential.

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