We believe in an AI that enables road infrastructure managers to make the road a safer, better shared, and more fluid place. By using the latest technology in Artificial Intelligence, we transform mere observations into qualified information to support day-to-day operations. Our products help road operators and traffic supervisors to be more efficient and make better decisions.
We design and build complex software solutions, based on state-of-the-art Deep Learning technologies, to better assist road operators and traffic supervisors in their daily challenges.
Since our creation, we have accumulated significant expertise in applying artificial intelligence to industrial road contexts. Our team have built a strong experience in deploying robust solutions at scale, directly into business processes.
We believe in an AI empowering infrastructure managers to make roads safer, better shared, and more fluid. Our products are conceived to help road operators to be more efficient and make better decisions: by transforming simple observations into qualified information useful for operations, we are convinced that AI can bring real value to operators.
Make roads safer and ensure infrastructure conformity
Manage and optimize flows in real-time, for a seamless and cleaner traffic
Better understand traffic to enhance decision-making
Streamline operational processes with flexible and cost-effective solutions
We believe in a partnership approach with integrators or OEMs to offer to road network operators fully integrated solutions, as a complete response to their challenges. For each project, we work hand in hand with all stakeholders within the ecosystem: engineering office, integrators, installers, and hardware providers.
Director of Autonomous, Connected and Electric Mobility Projects Leonard | VINCI Autoroutes
“Thanks to the algorithm developed by Cyclope.ai, connected and autonomous vehicles will benefit from qualified information on traffic conditions, events and singularities of the motorway network. This data will enable them to anticipate risk situations to provide the user with a safe and continuous autonomous experience.”