Enquiry About the Services of the Wölfel Group in the Field of Artificial Intelligence

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Please contact us personally

________

Based on our own experience, we help other SMEs to leverage "data treasures" for cost and product optimization with the help of AI.

Dr.-Ing. Manuel Eckstein
Engineering Director

Study

Mechanical Engineering, TU Darmstadt

Acadamic Degree

Dr.-Ing.

Working at Wölfel

Mastering the variety of technical challenges together with our customers and with the Wölfel team through innovative solutions.

Bernhard Huber – Wölfel-Gruppe

M. Sc. Bernhard Huber
KI-Specialist

+49 931 49708-295
huber@woelfel.de
Contact form

Study

Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg

Acadamic Degree

M. Sc.

Committee Activity

Competence Network AI in SMEs "AI-HUB Northern Bavaria"

Professional Motto

Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.

Working at Wölfel

Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.

Study

Mechanical Engineering, TU Darmstadt

Acadamic Degree

Dr.-Ing.

Working at Wölfel

Mastering the variety of technical challenges together with our customers and with the Wölfel team through innovative solutions.

Study

Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg

Acadamic Degree

M. Sc.

Committee Activity

Competence Network AI in SMEs "AI-HUB Northern Bavaria"

Professional Motto

Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.

Working at Wölfel

Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.