May Mobility develops autonomous vehicle technology with a focus on shuttle services for urban and community transportation. Founded in 2017, the company's approach centers on its proprietary Multi-Policy Decision Making (MPDM) technology, which utilizes real-time reinforcement-learning AI to navigate complex, real-world driving environments. This technical foundation is designed to handle the unpredictable scenarios encountered in public transit operations.
The company's autonomous shuttles operate in partnership with transit agencies, municipalities, and ride-hailing platforms in the United States and Japan. These partnerships aim to integrate autonomous mobility into existing public transit networks. The service has delivered over 300,000 autonomy-enabled rides to date, providing data and operational experience for the technology's continued development.
May Mobility's technical work involves several key domains: autonomous vehicle systems, real-time reinforcement-learning AI, and the deployment of its Multi-Policy Decision Making technology. The company operates within the transportation, urban mobility, and public transit sectors, working toward applications that aim to increase the accessibility and efficiency of urban transportation systems.
