MISSION

We use X-rays and AI to explain materials

CEO & Founder

Roger Herger is CEO and founder of maXerial. He loves to work in multidisciplinary teams, connecting experiments and state-of-the-art computing. Roger has a scientific background in x-ray analytics and has held several technical and management positions in the industry. Roger received his MSc in Chemistry and holds a PhD in Physics.

CIO & Founder

Patrick Bleiziffer is CIO and founder of maXerial. He is fascinated by solving problems in materials science by virtue of computational methods. His computational toolbox contains physical models as well as methods based on artificial intelligence. These tools have been successfully applied in academic and industrial environments. Patrick received his MSc in Nano Science and holds a PhD in Theoretical Chemistry.

CTO & Founder

Thorsten Wiege is CTO and founder of maXerial. He is interested in connecting materials knowledge with engineering and fatigue life models. Thorsten has experience in materials analysis, structure simulations and working in interdisciplinary teams. He received his BSc in Mechanical Engineering and his MSc in Materials Sciences.

Junior X-ray Scientist

Dario Rothauer is a young scientist with a faible for analytical methods, thereby being open to new approaches and experiments. He has been working in materials science with focus on polymeric materials for several years now. Dario received his MSc in Chemistry and is currently a PhD student at the University of Konstanz.

University Trainee

Benito Rusconi is a physics lab technician with a strong passion for data-driven problem solving. Before joining maXerial, he gained valuable experience in photonics with a focus on fast axis collimation lenses. He is currently studying Computational and Data Science at the University of Applied Science Grisons.

Junior Developer

Philipp Hänsel is a proficient engineer specializing in signal and data analysis, possessing valuable professional experience as a hardware and software engineer. His profound knowledge and expertise in both fields allow him to pioneer state-of-the-art solutions. Currently, he is pursuing his Master of Science degree in electrical engineering at ETH in Zurich.

How to bring AI to your manufacturing company

What we learned on our industrial AI journey

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Get machine-readable data for industrial AI

Or why having lots of data is not enough

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Build sandboxes and let them play

How to create the right environments for ML engineers

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Robot

Problems you can solve with ML in your company

What, if ChatGPT is not enough for you and your business?

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AI route to success: think big, start simple

Your route to success in AI: Think big, start simple

Simplicity and business levers
are key

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From pilot to maintainable AI technology stack

From pilot to maintainable AI technology stack

Your role as AI manager

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maXerial 1-click-AI-trainer button

What you can learn from your smartphone for industrial AI

Supercharge your industrial AI in just 1 click

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Partner & Knowledge Network

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