May Mobility

May Mobility is an autonomous vehicle company founded in 2017 that develops self-driving technology and operates autonomous shuttle services in real-world transit settings. Its teams work across autonomous vehicles, robotics, reinforcement learning and real-time AI decision making, with particular focus on self-driving vehicle perception and planning. Operations run in the United States and Japan, including deployments in Minnesota and Tokyo.

At the core of the company's technology is Multi-Policy Decision Making (MPDM), a real-time, reinforcement-learning system for autonomous driving. MPDM is designed to learn while driving and to handle scenarios that rules-based systems cannot navigate, generating new training examples every 200 milliseconds. The approach is distinguished by its emphasis on multi-policy decision making, allowing the vehicle to reason over competing driving behaviours rather than following a fixed rule set.

Beyond the algorithm stack, May Mobility runs autonomous shuttle services that have delivered over 300,000 autonomy-enabled rides. These services are operated in partnership with transit agencies, municipalities and ride-hailing platforms such as Lyft and Uber, and the company states an emphasis on proving its technology in production rather than in simulation alone.

The company works across public transit, urban mobility, municipal transportation and smart cities, with a stated focus on safety, accessibility and equity in urban mobility. It was founded by Edwin Olson with a vision for autonomous vehicles that work in the real world.