KAROS develops a disruptive approach to short distance carpooling, by building a brand new transportation network so that people can commute every day in a reliable, affordable and ecological way. Its predictive algorithms, leveraging machine learning and big data technologies, makes carpooling effortless and reliable for daily trips through an intuitive mobile application.

Karos’s technology predicts accurately the upcoming trips of the users and automatizes all the carpool organization process. The users can carpool in 1 single click. The team built a behavioral prediction engine which is able to anticipate the user rides (departure location and time, arrival, path) for the next days by learning complex unique behaviors.