May Mobility

May Mobility, Inc. is an autonomous vehicle technology company based in Ann Arbor, Michigan, that develops self-driving technology for commercial ride-hail services.¹ Its investor presentation dates its inception to 2017.² The company builds its driving software around what it calls Multi-Policy Decision Making (MPDM), which it describes as running on-board simulations of what might happen next and choosing a move every 200 milliseconds (company-stated).³ It lists Toyota Motor Corporation, NTT, Lyft, Uber and Grab among its partners.¹

In February 2025 May Mobility moved its service in Peachtree Corners, Georgia, to driverless operation, calling it its first commercial driver-out service and its third driverless deployment in the US, after demonstrations in Sun City, Arizona, and Ann Arbor.⁴ In September 2025 Lyft riders in Atlanta began hailing its vehicles, with a human safety operator in the front seat who “may take control from time to time”, TechCrunch reported.⁵ Its locations page lists three active deployments: Atlanta through Lyft, and Grand Rapids and Eden Prairie, Minnesota.⁶ In a press release filed with the SEC on September 16, 2026, the company stated it had completed more than 550,000 commercial autonomous rides across 1.1 million miles in the US and Japan, including three driver-out deployments, and that it aims to launch with Uber in Arlington, Texas, in the fourth quarter of 2026 or the first of 2027.¹ Its investor presentation says remote-assist agents support its vehicles’ safety from afar.²

Wheelchair users are where an onboard person still matters most. May Mobility’s accessible vehicles carry an autonomous vehicle operator who helps riders with entry, wheelchair securement and exit, and in 2023 the company wrote that, as it moved toward rider-only service, it was “hard at work developing a solution that works for all passengers in wheelchairs”.⁷ That case appears in our feature on robotaxis and the taxi driver’s job, graded as a vendor claim, and in our explainer of the SAE driving levels, where the onboard operator’s ramp and securement work is the human side of an automated ride.