CARTO has been selected to continue in Phase 1 of the AI4Cities project, Solution Design Phase, and is now further selected for Phase 2, where it will work on a prototype of its proposed mobility solution, FutureUrbanMobility. This solution aims to optimize shared mobility modes and active mobility into urban planning, using Location Intelligence and Machine Learning. CARTO's selection in the AI4Cities project is part of the EU-funded Pre-Commercial Procurement (PCP) project, which seeks to accelerate carbon neutrality through AI solutions. The project's focus on addressing traffic congestion and inefficient transport systems in European cities, accounting for 24% of GHG emissions, aligns with CARTO's goals in developing its FutureUrbanMobility solution. With the support of AI4Cities partners, including City of Helsinki, Paris Region, Amsterdam, Copenhagen, Tallinn, and Stavanger, CARTO will work to develop a prototype that simulates optimal locations for micro-mobility services, supports decision-making based on predictive models, and enhances user experience through gamification techniques.