Michigan autonomous vehicle (AV) technology company May Mobility has launched a ride-hail API to scale its autonomy-as-a-service (AaaS) offering for urban markets globally.

The ride-hail integration API is engineered to enable seamless connectivity between May Mobility’s autonomous fleet and the consumer-facing ride-hail platforms used around the globe. This proprietary API facilitates the dynamic pick-up and drop-off routing ride-hail users expect, while ensuring May Mobility’s autonomous vehicles choose the optimal locations for riders to embark and disembark safely and conveniently.

Importantly, the API provides a robust foundation for deployment of AVs at scale across multiple ride-hail platforms by ensuring integrations with platform providers will be technically smooth and efficient around the world.

These updates additionally incorporate May Mobility’s capability to operate in both left- and right-hand driving geographies, facilitating deployments in the USA, Japan and future international locations.

The API release is also supported with autonomy enhancements to May’s patented MPDM multi-policy decision making system to handle the complexities of urban environments. These upgrades improve the rider experience through precision handling of narrow city streets, more human-like manoeuvring around agents such as double-parked cars, and smoother accelerations and braking for more comfortable rides.

The milestone marks a key step as May Mobility prepares to launch with Lyft (www.lyft.com) in and around midtown Atlanta this summer, and a planned deployment with Uber (www.uber.com) later this year in Arlington, Texas. May is the only US AV company that has announced plans to launch on both major ride-hail platforms in 2025, and is one of just three providing commercial driverless trips on public roads in the USA. May’s ride-hail launches will start with standby operators this year before transitioning to driverless operations.

MPDM distinguishes May from other AV technology players, whose systems fully rely on predefined scenarios and struggle when real-world situations don’t exactly match. MPDM technology integrates lidar, radar and cameras to employ real-time, human-like reasoning to handle the unexpected on roads with AI-powered speed and precision.

“With this software announcement, our riders will experience optimised pick-up and drop-off times and a smoother ride from beginning to end,” said Jacob Crossman, senior vice president at May Mobility. “As the AV market moves from initial operations to broader availability, we are excited to bring thousands of AVs to the world’s leading ride-hail platforms, helping riders experience greater safety and freedom of mobility.”

May Mobility (www.maymobility.com) has built in-situ AI that integrates real-time data every 200ms to ensure safety and efficiency, even in unpredictable situations. Its technology pairs live, online learning with traditional offline training, enabling rapid deployment. Operating on-demand vehicles across the USA and Japan, May delivers transportation across diverse environments, including rural cities, dense urban areas and diverse weather conditions. Backed by partnerships with Toyota and NTT, May has completed nearly half a million rides across 19 deployments worldwide.