Our Generative Design Approach.

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Iterative Steps.

Our iterative design process makes it possible
to test prototypes in real conditions at a very early stage of development.
Afterwards loop back data to simulate, redesign and improve with an outstanding software algorithm.

 
 
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1. Ideation.

Our corporate philosophy is based on interdisciplinary connected teams.
The diversity of competence profiles enable problem oriented solutions.  

Concept development, medical research, sketching first ideas and concepts.

 
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2. Prototyping.

Our large library of textiles, materials, lock and buckle systems in the sporting goods segment, as well as in-house industrial sewing machines enables us to create fast and meaningful prototypes.
Our team has competences in prototype modelling from TRL level 2 to 9.

 
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3. Sensor Implementation.

Machine Learning enables products to learn from themselves. With the help of an integrated electronic „nervous system“, the product can redesign itself. Based on this revolutionary idea, we are currently developing machine learning system for back protectors.

 
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4. Testing.

Our team riders test prototypes in real conditions which provides information about natural movements and - in the worst of cases - accidents and injuries.

 
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5. Data Evaulation.

In order to demonstrate improvements in the biomechanical properties of our sports safety equipment, we developed our own test beds as well as dat collection systems so that we can perform our own analyses.

 
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6. Simulation.

Software algorithms allow prototypes to be optimized for material resilience and weight minimization and hence create unexpected designs. We are in close contact with Autodesk and are currently using state-of-the-art software - „Generative Design“. Newly acquired dat from our test riders can be looped back into the design process so that the protector can redesign itself.