Scientific data to improve bike design


  • Align bike testing with real world loads and forces
  • Detect hot spot stress regions
  • Optimize FEM models
  • Prevent in-the-field failures
  • Speed up the prototyping process

Bike tests are often not adapted to the real use of bicycles. So even when bikes pass the test, unexpected failures can still occur. Additionally there’s often much uncertainty about the vehicle’s expected lifetime.

Using an array of multi directional sensors and strain gauges, installed at key areas on the bike, we measure the real forces and vibrations at these points while the bike is being used on real roads, in real conditions, by real people.

Aditionally to the strain gauges and sensor, we can use optical methods to detect invisible material failures. This can help to investigate the root cause of a bike failure.

Our data collection method takes into account the many different use cases and events that can take place in the real world. E.g. different terrains, inclinations, speeds, traffic situations, rider weight, carried loads…

Our algorithms are able to translate all of this raw data into actionable insights and useful information, which can then be used to optimize the design and manufacturing process.