Komorebi AI

Automotive & Mobility

Automates damage detection in automobiles by optimising the inspection process.




It reduces operational costs and improves the user experience of the mobility industry by simplifying its processes through machine vision.

  • Partial automation of the vehicle damage detection, recording and assessment process.
  • Training with own data
  • Universal model capable of analysing any type of photograph and model of car/van.
  • Development of in-vehicle damage detection models.
  • Adaptation of the tool to use cases and business rules.
  • It helps to adopt new strategies and make decisions in an agile way.
  • Saving time in tasks that are executed by hand and reducing errors. Classification of all available information in less time.
  • Improved customer experience by offering more agile services.
  • Employee satisfaction by reducing waiting times and implementing improvement actions.
cdti neotec

The Insurmapp project (Automatic vehicle damage evaluation by Artificial Intelligence) has been co-funded by the Ministry of Science and Innovation through the 2020 call of the NEOTEC Program, with the reference file SNEO-20201345.

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