COMPREDICT applies machine learning to signals already on the vehicle bus to estimate mechanical stress on chassis and powertrain parts without adding hardware. Carmakers and fleet operators use it for predictive maintenance, warranty analysis and residual value assessment.
Virtual sensors that infer vehicle component load and wear from existing car data
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€5,500,000
Total raised
-
Valuation
49
Employees
2016
Founded
Latest round
Series A - June 1, 2022
Series A - €5,500,000
June 1, 2022
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