DeepLearning based machine vision

We are using modern deep learning to train our system to detect anomalies in any kind of image or video. This enables the detection of anomalies above a certain threshold for purposes of defect classification. Additionally, we combine this with classic machine learning to realize an error prevention system.
This is possible by looking for recurring patterns of early signs of quality deterioration with an added semantic understanding of potential error sources to produce meaningful warning reports.

Reference Customers:



August 9, 2021: The product proves itself

The technology proves its capabilities in
a complex use case and a first customer
decides to use it

April 30, 2021: The first version is done

The first functional product is finished

June 30, 2020: The team is established

The co-founders of decide to
start working together and build a
business out of the technology

February 28, 2017: The basis

The CTO of builds the
technological basis for our
technology by writing his master
thesis on deep learning.

General information:

Business Unit: Industry 4.0
Branch: Artificial Intelligence
Type: Product
Patented: No

Contact of the Organization: UG (haftungsbeschränkt)
Lothstraße 21
80797 München
Tel.: +49-176-34624930