Real-time decision making
Uses a Multi-Policy Decision Making system that runs real-time reinforcement-learning simulations while driving, allowing the vehicle to choose responses based on the current environment.
May Mobility provides autonomous vehicle services for cities, transit agencies, campuses, airports, healthcare centers, and commercial operators. Its turn-key deployments use MPDM-based AV technology to support shared mobility, transit gap coverage, and ride-hail partnerships.
May Mobility builds autonomous vehicle technology and services for transit agencies, cities, campuses, airports, healthcare centers, and other organizations that need shared transportation. The company positions its systems as a way to close transit gaps, expand service hours, improve accessibility, and make operations simpler to manage.
Its core technology is Multi-Policy Decision Making (MPDM), a real-time reinforcement-learning system that simulates possible next steps while driving. May Mobility says this helps vehicles handle unexpected situations, react predictably, and operate in real-world environments that range from college towns to rural communities and urban ride-hail partnerships.
Uses a Multi-Policy Decision Making system that runs real-time reinforcement-learning simulations while driving, allowing the vehicle to choose responses based on the current environment.
Combines a sensor stack with MPDM to monitor the road and simulate possible situations and hazards more reliably than rules-based systems, according to the site.
Provides ready-to-go autonomous vehicle services with vehicles, operations, community engagement, support, software updates, and maintenance.
Supports transportation use cases for cities, campuses, airports, healthcare centers, and commercial operations that need first- and last-mile or circulator service.
Works in partnership with transit agencies, cities, shuttle partners, and other stakeholders to connect services with existing operations and user needs.
Offers AV solutions that can be used for middle-mile delivery in commercial spaces, in addition to passenger transportation.
Cities and transit agencies can use autonomous on-demand or circulator services to fill transit gaps, expand reach, and improve equity in underserved neighborhoods.
Commercial campuses, airports, and healthcare centers can deploy autonomous shuttles to improve convenience, staffing efficiency, and service hours for employees, visitors, and customers.
Partners exploring ride-hail automation can use May Mobility’s autonomous vehicle service as part of a shared mobility network, including the Lyft deployment referenced on the home page.
Organizations with delivery needs in commercial settings can explore AV-based middle-mile delivery as an additional workflow supported by the platform.
Communities serving riders with accessibility needs can use AV deployments to support wheelchair users and other mobility-focused riders, as shown in the Grand Rapids example.
May Mobility works with transit agencies, cities, states, campuses, commercial campuses, airports, healthcare centers, and other organizations that need autonomous transportation services.
The source emphasizes autonomous on-demand and circulator services for cities, and shuttle-like transportation for commercial environments such as campuses, airports, and healthcare centers.
May Mobility says its turn-key services can include vehicles, operations, community engagement, ongoing support, and regular software updates and maintenance.
The pricing page is not available and does not show published plans or rates; the site instead prompts visitors to contact the company and talk about a partnership.
The site highlights safety, accessibility, equity, and sustainability as goals, and it describes deployments in pedestrian-dense college towns, rural communities, and other real-world environments.