Karos Mobility’s technology suggests carpool trips adapted to users’ daily mobility habits.
Our carpooling app offers door-to-door optimized and intermodal trips.
Once the trip has been confirmed, carpoolers just have to follow the route proposed by the app.
Karos Mobility has developed a unique set of technologies based on artificial intelligence and geolocation, to match the best possible carpooling partners.
Our algorithms calculate door-to-door itineraries including time of meeting, optimized pick-up location, and combination with other modes of transportation (pulic transport, carpool areas…).
Thanks to machine learning, Karos Mobility’s technology is taking into account user preferences to improve the quality of the matching (acceptable detour for the driver or walking time for the passenger, driver’s favorite route…)
Finally, our technology is able to learn mobility patterns and even predict future trips, to make the carpooling experience as smooth and accurate as possible.
At Karos Mobility, our vision is to transform empty seats into public transport. To achieve it, we integrate carpooling with local public transport networks
When we work with territories, we open our deep-link API to connect to local MAAS