PREDICTIVE MAINTENANCE IS NECESSARY!
Take the mystery out of car maintenance!
CARFIT scrubs and interprets data to identify patterns that signal car maintenance needs. With our NVH (Noise, Vibration, Harshness) knowledge base and a sophisticated level of data analysis, we apply advanced mathematical principles to analyze these vibrations for insights into mechanical issues before they become a problem.
MONITOR AND PREDICT MAINTENANCE LIKE NEVER BEFORE
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights. With these techniques, we can learn from previous computations to produce reliable, repeatable data. This science isn’t new, but it’s gaining fresh momentum and is being applied in a new way.
AN ALL NEW VIBE
Unlike the other devices that rely upon
diagnostic code and existing sensors,
CARFIT tracks the actual performance of a
vehicle based on vibrations and movement.
Thanks to NVH technologies, we can analyze
these vibrations for insight into mechanical issues.
These insights effectively help you to enhance
your car’s resale value, lower gas consumption
and reduce your maintenance costs.
AWARDS AND RECOGNITION
Acknowledgement of our technology and innovation
OF THE FRENCH
BANK SINCE JUNE 2018
PROJECT APPROVED IN
THE HORIZON 2020 PROGRAM
UNDER GRANT AGREEMENT
N° 731343 IN MAY, 2018
SELECTED BY DAIMLER
TO JOIN STARTUP
INVENT NEW SERVICES
AND BUSINESS MODELS
FOR THE WORLD’S
LEADING MOBILITY PLATFORM
SELECTED FOR PLUGANDPLAY
MOBILITY ACCELERATION PROGRAM
WINNER OF BEST
CHALLENGE! PARIS, FRANCE JUNE 2017
ENDRED – WINNER 2019:
ON PROFESSIONAL MOBILITY
KNOW YOUR CAR
With CARFIT, we help to increase the
reliability of cars while providing
users greater transparency and improving
Through better fuel economy, timely
car maintenance and repairs, and a better
understanding of how cars perform in the
real world, CARFIT will help make our
roads safer for everyone.
Meet with us face-to-face at one of the upcoming events!
1-11 October 2020
STAY IN TOUCH