May Mobility Market Research Report

Background

Overview

May Mobility is an American autonomous vehicle (AV) technology company founded in 2017 and headquartered in Ann Arbor, Michigan. The company specializes in developing and deploying autonomous transportation solutions aimed at enhancing urban mobility. Its mission is to integrate autonomous vehicles into public transit systems, thereby creating safer, greener, and more accessible transportation options. May Mobility's vision is to transform cities and rural areas through autonomous transit and technology, making transportation more efficient and sustainable.

Mission and Vision

• Mission: To develop autonomous vehicle technology and deploy fleets of vehicles to municipal and business customers, enhancing urban mobility and public transit systems.

• Vision: To create a world where self-driving systems make transportation more accessible and reliable, leading to safer roads and more livable urban spaces.

Primary Area of Focus

May Mobility focuses on providing autonomous shuttle services that complement existing public transportation networks. By operating in geofenced urban, suburban, and rural environments, the company aims to address transportation gaps and improve mobility for all individuals.

Industry Significance

As a leader in the autonomous vehicle sector, May Mobility plays a crucial role in advancing the integration of self-driving technology into public transit systems. Its innovative approach to autonomous shuttle services contributes to the evolution of urban mobility, offering scalable and sustainable transportation solutions.

Key Strategic Focus

Core Objectives

• Expansion of Autonomous Services: Deploy autonomous shuttles in diverse environments to enhance public transportation options.

• Partnerships and Collaborations: Form strategic alliances with cities, transit agencies, and private enterprises to integrate autonomous vehicles into existing transportation infrastructures.

• Technological Advancement: Continuously develop and refine autonomous driving technologies to improve safety, efficiency, and scalability.

Specific Areas of Specialization

• Urban and Suburban Mobility: Implement autonomous shuttle services in urban and suburban areas to alleviate traffic congestion and provide efficient transportation alternatives.

• Rural Transportation Solutions: Extend autonomous transit services to rural communities, addressing mobility challenges and enhancing connectivity.

Key Technologies Utilized

• Multi-Policy Decision Making (MPDM): A proprietary real-time, reinforcement-learning AI algorithm that enables vehicles to generate training examples relevant to their current environment and learn while driving every 200 milliseconds. This technology enhances the system’s ability to learn and react to new situations and driving scenarios.

Primary Markets Targeted

• United States: Deploy autonomous shuttles in cities such as Detroit, Michigan; Grand Rapids, Michigan; Providence, Rhode Island; and Sun City, Arizona.

• Japan: Collaborate with local partners to introduce autonomous vehicle services in cities like Tokyo and Nagoya.

Financials and Funding

Funding History

May Mobility has secured substantial funding through multiple investment rounds to support its growth and technological development.

• Series B Round (December 2019): Raised $50 million, led by Toyota Motor Corporation, with participation from SPARX Group, Millennium Technology Value Partners, Cyrus Capital Partners, BMW i Ventures, and Toyota AI Ventures.

• Series C Round (July 2022): Closed a $111 million funding round, led by SPARX Group Co., Ltd.'s Mirai Creation Fund II, alongside Tokio Marine, Toyota Tsusho, Bridgestone Americas, and returning investors Toyota Ventures, Millennium Technology Value Partners, Cyrus Capital Partners, LG Technology Ventures, and Maven Ventures.

• Series D Round (November 2023): Announced a $105 million investment led by NTT Group, with participation from Toyota Ventures, Aioi Nissay Dowa Insurance Company, State Farm Ventures®, BMW i Ventures, Cyrus Capital, Millennium Technology Value Partners, and Trucks Venture Capital.

Total Funds Raised

Approximately $300 million across four funding rounds.

Notable Investors

• Toyota Motor Corporation: A leading automotive manufacturer and strategic partner.

• NTT Group: A Japanese telecommunications and IT services company.

• SPARX Group Co., Ltd.: A Japanese investment firm.

• BMW i Ventures: The venture capital arm of BMW Group.

• State Farm Ventures®: The venture capital arm of State Farm Insurance.

Utilization of Capital

The funds are allocated towards:

• Technological Development: Advancing the MPDM system and other autonomous driving technologies.

• Operational Expansion: Deploying autonomous shuttles in new cities and regions.

• Strategic Partnerships: Collaborating with cities, transit agencies, and private enterprises to integrate autonomous vehicles into existing transportation infrastructures.

Pipeline Development

Key Pipeline Candidates

• Autonomous Shuttle Services: Ongoing deployment of autonomous shuttles in various cities, including Detroit, Michigan; Grand Rapids, Michigan; Providence, Rhode Island; and Sun City, Arizona.

• Technobus Project: A collaboration with Tecnobus to develop a 30-seater autonomous electric minibus, with testing planned to begin in early 2026 and service deployment in late 2026.

Stages of Development

• Autonomous Shuttle Services: Active deployment and operation in multiple cities.

• Technobus Project: Development phase, with testing and deployment scheduled for 2026.

Target Conditions

• Urban and Suburban Environments: Addressing transportation needs in densely populated areas.

• Rural Communities: Providing mobility solutions in less densely populated regions.

Anticipated Milestones

• Technobus Testing: Early 2026.

• Technobus Service Deployment: Late 2026.

Technological Platform and Innovation

Proprietary Technologies

• Multi-Policy Decision Making (MPDM): A real-time, reinforcement-learning AI algorithm that enables vehicles to generate training examples relevant to their current environment and learn while driving every 200 milliseconds. This technology enhances the system’s ability to learn and react to new situations and driving scenarios.

Significant Scientific Methods

• Reinforcement Learning: Utilized in the MPDM system to enable vehicles to learn optimal driving strategies through continuous interaction with their environment.

• Real-Time Data Processing: Enables vehicles to process and respond to dynamic driving conditions effectively.

Leadership Team

Executive Profiles

• Edwin Olson: Co-founder and CEO. Holds a PhD from MIT in robot mapping and has over a decade of experience in autonomous vehicles, including work on the 2007 DARPA Urban Challenge and roles at Ford and Toyota Research Institute.

• Alisyn Malek: Co-founder and former COO. Previously oversaw GM Ventures' relationship with Cruise Automation. Left May Mobility in 2020.

• Steve Vozar: Co-founder and former CTO. Directed the University of Michigan's APRIL robotics laboratory and was a member of Ford's driverless vehicle program. Left May Mobility in 2019.

Non-Executive Board Members

• Ray Cheng: Partner at Millennium New Horizon.

• Benjamin Birnbaum: Co-founder at Terawatt Infrastructure.

• Jennifer Keesmaat: Chief Planner & Executive Director, City of Toronto.

• Reilly Brennan: Founding General Partner at Trucks Venture Capital.

• Masaharu Nagamiya: Director of Mobility Business, NTT.

• Matthew Kubo: Mirai Creation Fund, SPARX Asset Management.

• Yosuke Tsuruta: Vice President of Toyota Motor North America in DX & Mobility.

Competitor Profile

Market Insights and Dynamics

The autonomous vehicle industry is experiencing rapid growth, with the global market projected to reach $77.8 billion by 2027, growing at a compound annual growth rate (CAGR) of 18.8%. This expansion is driven by advancements in technology, increased investment, and a growing demand for efficient and sustainable transportation solutions.

Competitor Analysis

• Beep: