AI can be a real support to evolve towards new low-carbon modes of mobility within the current framework of the ecological transition, facing the challenges of the Low Carbon roadway: reduction of the congestion through better efficiency , prioritization of cleaner mobilities - roadshare, electric buses, etc. - and a more equitable management of the infrastructure.

Thanks to the learning capacity of AI algorithms, through successive re-trainings on new data, the Computer Vision and Deep Learning technologies developed by Cyclope.ai have continuous room for improvement. Every AI is able to gradually structure and integrate huge data lakes, previously under-exploited by operators, to get a more precise understanding of the events that occur on the infrastructure.

At Cyclope.ai, we consider ourselves as disruptors on a very historical market which is Road Management. A market mainly dominated by big corporations with long-standing heritage, whether they are private or public clients. The true challenge here is to come up with a viable, value-added, and economic business model. That is how our software solution came and brought disruption to the traditional Road Mobility market.