Partner & Managing Director:
Dipl.-Ing. Frank Thilo Trautwein
04109 Leipzig, Germany
Tel. +49 341 656702-01
Tel. +1 646 878 9011 (US & Canada)
Legal & Administrative Office:
70794 Filderstadt, Germany
Tel. +49 341 656702-10
Fax +49 341 656702-02
Leipzig, HRB 34218
All images are the property of their respective owners and are subject to copyright. This website uses images from:
The use of the company’s or employees’ contact data published due to the provider declaration obligation, as published on social networks or by obtaining them from third parties
is hereby expressly objected to.
We tolerate the sending of highly specialized product or service offers exclusively by EMAIL to the above address. In addition to the exact specification, your product information must contain concrete price information in order to be reviewed by us. If we are interested, WE will contact you. Enquiries regarding receipt or interest, in particular by telephone, are expressly not tolerated.
The operator of these pages reserves the right to take legal action, including the immediate forwarding of unsolicited messages, without notice, to the Federal Network Agency and blacklisting senders of spam mass mailings, as well as the demand for damages or the cost-intensive warning notice in the event of non-compliance with this objection and applicable laws of the EU and the Federal Republic of Germany (Art. 13 of Directive 2002/58/EC; § 7, § 8, § 20 UWG; § 823, § 1004 BGB).
Product types and services which are listed in consumer or price comparison portals, or which concern the recruitment of employees, are considered not highly specialized for this purpose and therefore fall under this objection.
You will receive our general terms and conditions in parallel with our offers. Upon request, we will be happy to make them available to you in advance.
We research and develop methods for obtaining information from clinical image data. This information must be objective, reliable and, if possible, automatically extractable. This is the only way to reliably assess the healing process or the implant function and to achieve an evidence-based improvement in treatment methods.
The methods used come mainly from the areas of computer vision, artificial intelligence and big data. We are supported in the development of these procedures by the ESF and EU ERDF funds.