Semantic Coherence: May Mobility – Signal Evidence & AI Readability

[H1]
May Mobility x Lyft: Bringing Autonomous Rides to Atlanta
The future just pulled up. May Mobility's autonomous service preview is now live on Lyft. Hop in and experience what's next.

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[H1]
The AV company imagining every possibility
From rural Minnesota to Atlanta suburbs and Tokyo Bay, May Mobility is making safe, reliable autonomous rides a reality today.

Our Technology

[H2] We're redefining the future of autonomous driving.

The cornerstone of our technology lies in our Multi-Policy Decision Making (MPDM) system, which is a major advancement over other AVs in the industry.MPDM is real-time, reinforcement-learning AI algorithm that isn't limited by training data collected ahead of time. Our vehicles generate training examples relevant to their current environment and learn while driving—every 200 milliseconds! This technology amplifies our system’s ability to learn and react to new situations and driving scenarios over the traditional approaches used by other companies.

Meet May Mobility

[H2] We're redefining the future of autonomous driving.

The cornerstone of our technology lies in our Multi-Policy Decision Making (MPDM) system, which is a major advancement over other AVs in the industry.MPDM is real-time, reinforcement-learning AI algorithm that isn't limited by training data collected ahead of time. Our vehicles generate training examples relevant to their current environment and learn while driving—every 200 milliseconds! This technology amplifies our system’s ability to learn and react to new situations and driving scenarios over the traditional approaches used by other companies.

Meet May Mobility

[H2] MPDM lets our vehicles learn on the fly, just like a human driver.

Our technology solves the biggest problem in autonomous driving: safely handling the unexpected. These endless real-time, on-board simulations allow every vehicle to choose the most applicable next step and drive safely in each and every situation, no matter how unique it may be.With MPDM, providers can safely deploy AVs at a fraction of the cost and time, bringing more reliable, safe, and efficient autonomous transportation to more people, faster.

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See Our Technology

[H2] MPDM lets our vehicles learn on the fly, just like a human driver.

Our technology solves the biggest problem in autonomous driving: safely handling the unexpected. These endless real-time, on-board simulations allow every vehicle to choose the most applicable next step and drive safely in each and every situation, no matter how unique it may be.With MPDM, providers can safely deploy AVs at a fraction of the cost and time, bringing more reliable, safe, and efficient autonomous transportation to more people, faster.

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See Our Technology

[H2]
Our Strategic Partners

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[H2]
The Latest From May Mobility

Featured Article

[H3]
May Mobility to Expand Its AV Technology into Southeast Asia with Grab Investment
October 23, 2025

March 24, 2026

[H3]
May Mobility Recognized on Fast Company’s 2026 list of the World’s Most Innovative Companies

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September 10, 2025

[H3]
Lyft and May Mobility Deploy Their First Autonomous Vehicle Fleet in Atlanta

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May 1, 2025

[H3]
Uber and May Mobility Announce Strategic Partnership to Scale Autonomous Vehicles

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[H2]
Recent Press

[H3] Edwin Olson, May Mobility CEO: A Fortt Knox Conversation

July 31, 2025 /
Jon Fortt Podcast

[H3] Uber Adds May Mobility to Its Roster of Self-Driving Vehicle Partnerships

May 1, 2025 /
CNET

[H3] Uber strikes deal with May Mobility to deploy ‘thousands’ of robotaxis

May 1, 2025 /
The Verge

[H3] May Mobility to launch robotaxis on Uber platform this year in Texas

May 1, 2025 /
TechCrunch

[H3] May Mobility launches its first driverless commercial ride-hail service

February 12, 2025 /
TechCrunch

[H3] How a CEO is looking to succeed in the 'brutal' and expensive world of robotaxis

February 10, 2025 /
Business Insider

[H3] May Mobility CEO: DeepSeek shows it's time to rethink the 'biggest budget wins' mentality

February 5, 2025 /
Fortune

[H3] May Mobility Goes Bigger To Take On Robotaxi Leader Waymo

January 7, 2025 /
Forbes

[H3] This all-electric robo-bus has swappable batteries and can fit 30 passengers

January 7, 2025 /
The Verge

[H3] Our Commitment to Safety

Riders and other road users’ safety is our top priority. Our combined sensor stack and unique Multi-Policy Decision Making platform work together to monitor the road and run simulations on possible situations and hazards far more reliably than rules-based systems. The result is a vehicle that reacts quickly with safe, predictable vehicle movements, which in turn ensures the safety of our riders—and everyone on the roadway.

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[H3] What Sets Our Technology Apart

Our technology allows our vehicles to imagine multitudes of what might happen next and make a decision more effectively than rules-based autonomy systems. We're putting this technology to work with cities and businesses all over the world to improve the convenience, safety and environmental impact of mobility.

[H2] Bring May Mobility To Your Community

We love meeting transit agencies, cities, campuses, organizations and businesses where they are to explore how our AV solutions can solve their transportation gaps for good. Ready to partner up? Let’s talk.

Contact Us

[H2] Bring May Mobility To Your Community

We love meeting transit agencies, cities, campuses, organizations and businesses where they are to explore how our AV solutions can solve their transportation gaps for good. Ready to partner up? Let’s talk.

Contact Us

[H1]
Our Technology
May Mobility’s autonomy system fuses a predictive world model with a real-time reasoning engine, so our vehicles understand the scene in front of them and think through it — rather than simply matching it against training data. It’s a fundamentally different architecture than the modular AV stacks or pure end-to-end models that dominate the industry, and it’s already available to the public.

Our Approach to Safety

[H2] Solving the hardest problem in autonomy: handling unexpected scenarios in real-time

Conventional autonomous systems can capably handle situations they’ve trained on. But they struggle outside that training data, and the industry’s answer has been to collect more of it — at enormous cost in time, miles, and dollars.Our approach is different. Instead of betting everything on having seen every possible scenario in advance, our vehicles reason through the scene in front of them in real time, refreshing their understanding in a fraction of a second. The result is an autonomy system that generalizes to new geographies, new road types, and complex urban environments without the billions of miles and dollars other approaches require.

[H2] Solving the hardest problem in autonomy: handling unexpected scenarios in real-time

Conventional autonomous systems can capably handle situations they’ve trained on. But they struggle outside that training data, and the industry’s answer has been to collect more of it — at enormous cost in time, miles, and dollars.Our approach is different. Instead of betting everything on having seen every possible scenario in advance, our vehicles reason through the scene in front of them in real time, refreshing their understanding in a fraction of a second. The result is an autonomy system that generalizes to new geographies, new road types, and complex urban environments without the billions of miles and dollars other approaches require.

[H2] World Model

Our integrated world model develops a detailed understanding of what’s happening on the road in the moment, distilled from physics, the rules of the road, and the unwritten conventions of how pedestrians and drivers actually interact.We apply that model again and again to imagine what could happen next. Every 200 milliseconds, the vehicle simulates hundreds of possible futures up to 10 seconds out, predicting how each driver, pedestrian, and cyclist’s behavior would shape what everyone else does. The vehicle isn’t matching the moment to a database — it’s thinking it through.

[H2] World Model

Our integrated world model develops a detailed understanding of what’s happening on the road in the moment, distilled from physics, the rules of the road, and the unwritten conventions of how pedestrians and drivers actually interact.We apply that model again and again to imagine what could happen next. Every 200 milliseconds, the vehicle simulates hundreds of possible futures up to 10 seconds out, predicting how each driver, pedestrian, and cyclist’s behavior would shape what everyone else does. The vehicle isn’t matching the moment to a database — it’s thinking it through.

[H2] Reasoning Engine

Most AV systems output a single driving strategy and trust it. Ours doesn’t.Our multi-policy reasoning engine assembles multiple candidate strategies, including ones produced by our deep-learned models, and stages an election. Each candidate is scored against the simulated futures generated by the world model, and any action that fails our safety parameters is rejected outright. Whichever strategy best handles the scenario wins control of the vehicle.This also means every action the vehicle takes is earned and traceable to its source. That traceability scales safer deployments better than systems where decisions emerge from a single opaque model.

[H2] Reasoning Engine

Most AV systems output a single driving strategy and trust it. Ours doesn’t.Our multi-policy reasoning engine assembles multiple candidate strategies, including ones produced by our deep-learned models, and stages an election. Each candidate is scored against the simulated futures generated by the world model, and any action that fails our safety parameters is rejected outright. Whichever strategy best handles the scenario wins control of the vehicle.This also means every action the vehicle takes is earned and traceable to its source. That traceability scales safer deployments better than systems where decisions emerge from a single opaque model.

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World Model + Multi-Policy Reasoning

May Mobility’s autonomous driving system predicts pedestrian and vehicle behaviors and then reasons through a mix of deep learned policies and proven driving strategies in real time to choose the safest action.

[H2] Industry-Leading Driverless Tech
We’re building a safe, scalable driverless future by putting better AVs on the road in new markets faster and at a lower cost.
Partner With Us

[H3] Smart

Our vehicles reason through novel situations in real time, not just ones they've seen in training data. Where rote pattern-matching falls short, we’ve taken a smarter approach to driving.

[H3] Safe

Milliseconds matter. Our system simulates hundreds of possible futures every fraction of a second and rejects any strategy that fails its safety checks.

[H3] Scalable

Smaller models, lower-cost compute and less city-specific data. Our architecture is purpose-built to expand across geographies and platforms faster and more efficiently.

[H3] Collaborative

Partnering with NTT, Toyota, Lyft, Uber, Grab, ECARX and other partners, we’re building an ecosystem of innovation — delivering Autonomy as a Service at commercial scale.

[H2]
Featured Content

Featured Article

[H3]
May Mobility launches New AV Architecture That Understands and Reasons Through the Physical World
May 20, 2026

May 19, 2026

[H3]
ECARX and May Mobility to Scale Autonomous Ride-Hail Fleet

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May 5, 2026

[H3]
Get to Know May: Jonathan Voigt, Senior Director of Autonomy Data

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April 29, 2026

[H3]
What May Mobility Remote Assistance Does (And Doesn’t Do)

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[H2]
Featured Tech Resources
View All

[H3] WEBINAR: Paving the Way to Fully Driverless Public Transit

Webinars

Technology

[H3] Building an AV the May Way

Whitepapers

Technology

[H3] How Autonomous Vehicles Can Herald a New Era For Airports

Whitepapers

Service, Technology

[H3] Busting Myths and Building Futures: The Real Story of Autonomous Vehicles

Whitepapers

Technology, Safety, Service

[H3] WEBINAR: The importance of accessibility in autonomous transportation

Webinars

Accessibility

[H3] Arlington Rideshare, Automation, and Payment Integration Demonstration (RAPID) Final Report

Whitepapers

Technology, Service

[H3] How AVs are transforming public transportation

Whitepapers

Technology, Service

[H3] How Does Multi-Policy Decision Making (MPDM) Work?

Videos

Technology, Safety

[H3] How autonomous vehicles are making transportation more inclusive

Whitepapers

Technology, Service

[H2] Solving the hardest problem in autonomy: handling unexpected scenarios in real-time

Conventional autonomous systems can capably handle situations they’ve trained on. But they struggle outside that training data, and the industry’s answer has been to collect more of it — at enormous cost in time, miles, and dollars.Our approach is different. Instead of betting everything on having seen every possible scenario in advance, our vehicles reason through the scene in front of them in real time, refreshing their understanding in a fraction of a second. The result is an autonomy system that generalizes to new geographies, new road types, and complex urban environments without the billions of miles and dollars other approaches require.

[H2] Solving the hardest problem in autonomy: handling unexpected scenarios in real-time

Conventional autonomous systems can capably handle situations they’ve trained on. But they struggle outside that training data, and the industry’s answer has been to collect more of it — at enormous cost in time, miles, and dollars.Our approach is different. Instead of betting everything on having seen every possible scenario in advance, our vehicles reason through the scene in front of them in real time, refreshing their understanding in a fraction of a second. The result is an autonomy system that generalizes to new geographies, new road types, and complex urban environments without the billions of miles and dollars other approaches require.

[H2] Learn More About May Mobility

Meet the team making a difference in the world of autonomous vehicle technology and learn more about the core values that drive us.

Meet May

[H2] Learn More About May Mobility

Meet the team making a difference in the world of autonomous vehicle technology and learn more about the core values that drive us.

Meet May

[H1]
May we introduce ourselves?
Big thinkers, makers, innovators: we’re all here to build the world’s best autonomous technology and make it accessible to everyone. Learn more about the mission and values that drive us.

Join Our Team

See Our Technology

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A FEW THINGS OUR TEAM LOVES ABOUT MAY

[H2] Our Mission

Our mission is to reimagine transportation by developing and deploying autonomous vehicles that get people where they need to go safely, easily and with a lot more fun.

See Our Commitment to Safety

[H2] Our Mission

Our mission is to reimagine transportation by developing and deploying autonomous vehicles that get people where they need to go safely, easily and with a lot more fun.

See Our Commitment to Safety

[H2] The Values That Drive Us
We’re united in respect and regard for our four core values. Our values guide us to do the right things, for the right reasons—they inspire us, every day, to do what we do. And they remind us that when we do great things together, we can make a great impact on the world.

[H3] Value Personal Relationships

We believe the path to the best results is paved with empathy, inclusivity and collaboration.

[H3] Do What's Right

Trust is sacred. We earn the trust of our customers and colleagues every day by doing the right thing every time with safety being of paramount importance and a point of pride.

[H3] Consider the Bigger Picture

We operate in the real world and measure our success by the positive impact we have on each other and the communities we serve.

[H3] Drive With Purpose

We empower our people. Every project, decision, and action stems from our shared determination to create a safer, greener, more accessible world.

[H2]
Our Leadership Team & Board of Directors

Leadership

Board

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[H3] Dr. Edwin Olson
Chief Executive Officer

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[H3] Sid Venkatesan
Chief Strategy Officer & General Counsel

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[H3] Tom Tang
Chief People & Customer Operations Officer

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[H3] Manik Dhar
Chief Commercial Officer

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[H3] Thomas Fennimore
Chief Financial Officer

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[H3] Jacob Crossman
Senior Vice President of Autonomy

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[H3] Frank Renwick
Vice President of Marketing and Communications

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[H3] Matthew Wood
Vice President of Autonomy Engineering Verification & Validation

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[H3] Masaharu Nagamiya
Director of Mobility Business, NTT

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[H3] Benjamin Birnbaum
Partner at Keyframe

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[H3] Ray Cheng
Partner at Millennium New Horizons

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[H3] Ryan Green
Board Member

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[H3] Ichitaro Akita
SPARX Asset Management

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[H3] Masahiro Nakano
Vice President of Toyota Motor North America (TMNA) Mobility & Connected Enterprise Strategy & Solutions

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[H3] Julia Haywood
Board Member

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[H3] Dr. Edwin Olson
Chief Executive Officer

[H2]
Life at May

[H3] We’re more than a team—we’re a community.

Our team is a community made up of smart, kind and compassionate individuals with diverse backgrounds and perspectives. We value working toward our goals together and having fun doing it.

[H3] Our vehicles may drive themselves, but it's our teams that power our mission.

At May Mobility, the work we do directly improves the experiences of the communities we serve today. We come to work every day to move another step closer to our mission of a safer, greener, more accessible world.

[H3] When we get together, we go all out.

We love to celebrate and connect with each other near and far through a variety of employee events, social activities (IRL and virtual!) and community involvement.

[H2]
Featured May Content

[H3] Get to Know May: Jonathan Voigt, Senior Director of Autonomy Data

May 5, 2026

[H3] What May Mobility Remote Assistance Does (And Doesn’t Do)

April 29, 2026

[H3] Get to Know May: Gemma Wang, Lead Autonomy Engineer

March 30, 2026

[H3] Get to Know May: Parneet Kaur, Director of Autonomy Data Insights

March 23, 2026

[H3] Why Our AI Needs Less Hardware

March 13, 2026

[H3] May Mobility’s Expanding Autonomous Footprint in Japan

February 24, 2026

[H3] Get to Know May: Matthew Wood, VP of Autonomy Engineering Verification & Validation

November 21, 2025

[H3] Bringing Autonomous Ride-Hail to Atlanta

September 10, 2025

[H3] How May Mobility Keeps Roads Safe

September 10, 2025

[H2] Work at May Mobility

Our vehicles drive themselves, but it’s people like you who drive May Mobility. Join ranks with our diverse group of curious, passionate people and help us solve a spectrum of autonomous mobility challenges.

See Current Openings

[H2] Work at May Mobility

Our vehicles drive themselves, but it’s people like you who drive May Mobility. Join ranks with our diverse group of curious, passionate people and help us solve a spectrum of autonomous mobility challenges.

See Current Openings

[H1] Contact Us

Ready to get in touch with us? Fill out the form to the right and we’ll respond to you as soon as possible.

May HQ
650 Avis Drive, Ann Arbor, Michigan, 48108

May Mobility Japan 合同会社
〒170-6045
東京豊島区東
池袋3-1-1 サンシャイン
60 45階 サーブコープ

Email
[email protected]

メール（日本語）
[email protected]

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[H2] Learn More About May Mobility

Meet the team making a difference in the world of autonomous vehicle technology and learn more about the core values that drive us.

Meet May

[H2] Learn More About May Mobility

Meet the team making a difference in the world of autonomous vehicle technology and learn more about the core values that drive us.

Meet May