The most successful micro-mobility companies worldwide - how did they do it?

The most successful micro-mobility companies worldwide - how did they do it?

Vehicle-sharing and micro-mobility soon became a trend had brought tremendous success to entrepreneurs that jumped into a crazy ride by establishing a company in this field. Bird reached a $1 billion valuation in seven months, thus becoming the fastest startup ever to reach unicorn status. Lime reached unicorn status in 18 months. This year Helbiz plans to become the first micro-mobility company listed on NASDAQ. Vehicle-sharing and micro-mobility are still on the rise and it is still possible to create a successful business.

According to McKinsey & Company's "Micromobility’s 15,000-mile check-up" report, market potential by the year 2030 is:

- $200 billion to $300 billion in the United States;

- $100 billion to $150 billion in Europe;

- $30 billion to $50 billion in China.

This equals about a quarter of McKinsey & Company's forecasted global shared autonomous-driving market potential of roughly $1,600 billion in 2030. So if you are considering starting your own business with sharing, this is the right time to do it. But let's look at how leaders are doing, the milestones of their business success, and the trends they are setting for the future in the sharing business.

The fastest double unicorn ever

The company Bird attained this status soon after it was founded in September 2017 by Travis VanderZanden. He was already familiar with the market as previously he had worked as an executive at Lyft and Uber. Bird got its first round of funding in February 2018 raising $15 million. Series B round followed in March for $100 million. And the funding round of $150 million in May granted the fastest ever unicorn status. In June 2018, Bird raised an additional $300 million, valuing the company at $2 billion. Prior to Bird, this valuation had never been reached so fast by any startup. Currently, its valuation is estimated at $2.3 billion. Bird has raised $765 million in total funding across five funding rounds. It plans to reach $308 million gross profit by 2023.

Bird is a last-mile electric scooter rental service. What is important here - the company has reached its success with just one vehicle type while others have been adding several types of vehicles to their portfolio. Bird operates in 200 cities globally. Overall more than 95 million rides have been made up to date.

 

 

Bird started its business by offering customers a Xiaomi M365 scooter. With the launch of the BirdOne model, the company stopped buying and distributing Segway models.

The price for the service is €1 or $1 (depending on the country) to unlock the scooter. A one-minute ride on the scooter costs €/$0.15. There is also a monthly fee available for renting a scooter - $25. However, prices may vary depending on the country, currency, and local laws.

At the beginning of this year, Bird introduced Global Ride Pass - new pricing plans designed to save money and accelerate the shift away from cars for short-distance trips. Currently, there are four new Global Ride Pass options available:

- Daily Unlimited Rides Pass
- Monthly Unlimited Rides Pass
- Monthly Unlimited Unlocks Pass
- 3-Month Unlimited Unlocks Pass

In the second half of 2020, the company launched Bird Pay that is piloted in two California hubs. This provides users with the opportunity to pay via the Bird app for the purchase in local shops, restaurants, or food trucks as they move around on the scooter.

This year Bird announced that the company is investing $150 million in Europe. The company said that funds will be used to open safe, sustainable micro-mobility programs in over 50 new European cities. The company is also planning to go public by merging with special purpose acquisition company Switchback II. However, it is not yet clear when this could happen.

Alex Wilhelm, a journalist at TechCrunch wrote in 2018 that Bird’s gross margin is 19 percent. He explored that revenues are split as follows - 47% charging, 14% repairs, 11% credit card processing, 5% regulatory costs, and 3% customer support and insurance.

Runner up for the unicorn status

Lime is the brand of the transportation company Neutron Holdings, Inc., previously known also as LimeBike. The company is based in San Francisco, USA. In comparison with Bird, Lime’s vehicle-sharing business takes different forms: electric scooters, electric bikes, regular pedal bikes, electric mopeds, and car-sharing systems in various cities around the world. Lime operates with dockless vehicles that users find and unlock via a mobile app. It finds the location of available vehicles via GPS.

Lime was founded in January 2017 by Brad Bao and Toby Sun - former executives of the venture capital firm Fosun International. Over a period of two months, the company raised US$12 million in venture funding led by Andreessen Horowitz. Lime's first location was the University of North Carolina at Greensboro and they launched with 125 bicycles. In October 2017 the company closed a Series B round. Afterward Lime announced that it was valued at $225 million. It became a unicorn in 2018 following a $335 million funding round and $1.1 billion valuations. To date, Lime has raised $935 million in total funding across five rounds.

Lime operated in more than 120 cities over 30 countries as of September 2019. It started 2020 with the announcement that it had added 11 locations to this list, including several US metropolitan areas such as Atlanta. In the first quarter of 2021 Lime announced that it has allocated $50 million to its bike-share operation, an investment that has been used to develop a new e-bike and will fund its expansion this year to another 25 cities in North America, Europe, Australia, and New Zealand.

This announcement came a month after Lime announced plans to add electric mopeds to its micromobility platform. Lime is launching the effort by deploying 600 electric mopeds on its platform in Washington, D.C. The company is also working with officials to pilot the mopeds in Paris. Lime mopeds are manufactured by NIU, a Chinese company that also supplies mopeds to New York City-based mobility company Revel. NIU’s mopeds typically have a range of between 25–100 miles. Lime’s mopeds will be speed limited to 28 mph and can be controlled and monitored via wireless connectivity.

Lime uses many different manufacturers for the production of bikes and scooters. Other vehicles in Lime's fleet include:

- Lime-S electric scooters - four different models are currently in use: Lime-S Ninebot ES4, made by Segway with the extra battery attached on to the Main Pole, Lime-S Generation 1, Lime-S Generation 2, Lime-S Generation 3, Lime-S Generation 4.

- Lime-E electric-assist bikes.
- LimeBike - the classic dock-free bicycle.
- LimePod - colorfully branded Fiat 500s, a small, two-door model.

The fee to start any Lime ride is $1.00 and has to be paid no matter what. Afterwards, the user has to pay per minute to ride. Charges are rounded up to the nearest minute and rates and promotions. Users also pay $1 to unlock the car and an additional 40 cents per minute they drive.

In May 2021 Lime rolled out a new monthly subscription service for its electric scooters named Lime Prime. For $5.99 a month, users won't have to pay an initial fee. And in markets with no unlock fees, riders will receive 25 percent off the price of their ride. Subscribers will still pay the per-minute charge, but Lime says that someone who uses one of its scooters every day would save approximately $25 a month under the subscription plan.

Lime made its first quarterly profit in Q3 in 2019 according to Reuters. Wayne Ting, CEO of Lime said that the company generated positive free cash flow in the third quarter, having exited some markets where it was losing money, optimized the operation of its two-wheelers, and cut head office costs. “With these improvements, I believe we’re on track to be fully profitable in the full year 2021,” he told Reuters in an interview.

With micro-mobility to NASDAQ

The first company providing micro-mobility services and making up to NASDAQ seems to be Helbiz. It operates in North America and Europe. With more than 200 employees around the world, the company is the market leader in Italy and it operates e-scooters, e-bicycles and e-mopeds in over 20 cities around the world including Washington D.C., Alexandria, Arlington, Atlanta, Miami, Richmond, Milan and Rome. Helbiz was founded on 16 October 2015 by Italian serial entrepreneur, Salvatore Palella and was the first company to introduce the shared electric scooter model in Italy back in October 2018 through the legalization and regulation of the electric scooters in Italy.

Helbiz announced the intention to have a public offering on NASDAQ and on the Borsa Italiana AIM Italia exchange. In August 2019, the company announced it has completed the initial investment round for approximately $7.13 million. In October 2019, Forever Sharing, a China-based company producing electric smart mobility vehicles has acquired 5% of the Helbiz. This Chinese company invested 8 million dollars in Helbiz by valuing it at 160 million dollars. As a result, Forever Sharing agreed to supply Helbiz with 20,000 electric bicycles and e-scooters by the end of 2019 and the beginning of 2020 to deploy globally. There was no IPO.

Helbiz has raised a total of $56.9M in funding over 10 rounds. The company’s revenues reached nearly $4 million in 2020 but it plans to have $449M revenue by 2025.

 

 

Helbiz offers three vehicle types - e-scooters, e-bikes, and e-mopeds. The company offers the same payment plan for their customers as its competitors - users pay $1 to unlock the vehicle and an additional 30 cents per minute. The exception is the e-moped that charges only 26 cents per minute. Also Helbiz has an unlimited program that costs 29.99 a month.

Helbiz is planning to move forward by using penetration and user base to launch new products - public transit integration & ticketing, HelbizKitchen food delivery, and Native Wallet & Payment System. The company is in the process of obtaining its fintech license in Europe.

To sum it all up:

 

 

There is a lot we can learn from the success of these big companies. However, they usually focus on big cities with huge populations, complicated infrastructure, and a big investment required to launch there. At the same time, all over the world small cities are seeking to improve their micro-mobility capabilities. And this is the opportunity. ATOM team will take care of the software - one of the most complicated parts of this business. As we have several years of experience in the vehicle sharing business, we would also be happy to help with any other questions you might have. It is possible to start quickly and launch a vehicle-sharing business in next to no time. Here is the link to our blog. You will find a lot of helpful information there.

P.S. Useful links:
Bird investor presentation: Click here
Helbiz investor presentation: Click here

Interested in launching your own mobility platform?

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Digitizing your vehicle rental business: Best apps & software for small operators
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🚗📲 Whether you're renting out cars, bikes or scooters, the best rental businesses in 2025 are fully digital. No more paper contracts or office keys – just tap, unlock, and go. In our latest article, we explore top apps (like Donkey Republic, MOBY Bikes and Forest) that show what a modern rental experience looks like. Plus, we explain where a full platform like ATOM Mobility fits in when you're ready to scale.

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Running a rental or sharing business today means delivering a smooth, digital-first experience. Whether you rent cars, bikes, scooters or other vehicles – users expect to book online, pay, verify identity if needed, unlock a vehicle, and ride or drive without extra friction. 

To make that happen reliably, you need good vehicle rental software or platform backing your service. Below are some successful examples of apps and platforms that show how this works and what is possible.

Donkey Republic 

Operates in several European cities offering shared bikes and e‑bikes. Users find a bike in the app, unlock it with a smartphone, ride, then park at a designated drop‑off spot and end the rental. Pay‑as‑you‑go, daily rates or memberships are all handled via the app. 

MOBY Bikes 

Targets electric bicycles and e‑cargo bikes across certain regions, with a “tap‑and‑ride” system that uses its proprietary app for booking, unlocking, and rental management. The platform supports mixed-use fleets (shared bikes, cargo bikes, delivery fleet, even B2B rentals), which illustrates flexibility – useful for operators exploring different business models beyond simple consumer rentals. 

Forest

It is a dockless e‑bike sharing operator in London. It runs a large fleet and offers bike‑sharing through a mobile app. The service demonstrates how a relatively simple, dockless rental model can scale at urban level using app‑based rentals, unlocking, and flexible parking. 

These examples show how micromobility‑focused services already rely on booking, payment, unlocking and fleet management tech – the same core capabilities needed by any modern vehicle rental business.

What makes these apps work – and what to borrow from them

From these operators you can observe several useful traits that a good rental/sharing software should provide:

  • Seamless user journey: crate account in seconds → search → book → unlock → ride/drive → return. Users don’t need paper contracts or to meet staff to get a vehicle.
  • Flexible pricing & rental models: per-minute, hourly, daily, subscription, memberships – enables both occasional users and frequent commuters.
  • Smart access control and vehicle tracking: unlocking via app or smart lock, GPS tracking, drop‑off in defined zones or docking stations, helps maintain order, reduce theft, and support dockless models.
  • Support for different vehicle types: from bikes to e‑bikes and cargo bikes – showing that underlying software can be agnostic to vehicle type, useful if you plan a mixed fleet.
  • Scalable fleet operations and maintenance: availability updates, booking history, maintenance logs, geofencing or parking zones – these help manage many vehicles across zones without chaos.

These are exactly the kinds of features you need when you move from small‑scale operation to proper fleet business.

Why to choose ATOM Mobility

If you plan to just test the market or to operate a larger and more complex fleet - multiple vehicle types, multiple cities, or advanced operational requirements - a full-stack platform like ATOM Mobility becomes essential.

ATOM Mobility is designed for operators who need full control over the entire mobility operation: booking flows, unlocking logic, payments, KYC/ID verification, backend administration, fleet analytics, dynamic pricing, and multi-modal rentals across cars, scooters, bikes, and more.

The platform provides a unified backend that supports cars, scooters, e-bikes, mopeds, and additional vehicle types within a single system. Operators can manage bookings, payments, users, smart locks or connected vehicles, fleet health, and city-level scaling without fragmenting their tech stack as the business grows.

This approach offers far greater flexibility than single-vehicle or bike-only solutions and removes the need to migrate systems when expanding into new vehicle categories or markets. Check out the full service here.

How to choose: when to use franchising vs full platform

Join a franchising when you:

- prefer operating under an established brand
- value a clear operational playbook and central support
- want simpler marketing thanks to brand recognition
- are comfortable with limited control over technology and product decisions
- accept franchise fees or revenue sharing in exchange for convenience
- don’t need heavy customization or experimentation

Use a full platform (like ATOM Mobility) when you:

- aim to manage a larger, mixed fleet (cars, scooters, bikes, e-bikes)
- need full backend control (admin, analytics, pricing, reporting)
- require payments, KYC/ID verification, and automation built in
- want freedom to customize booking flows, pricing, and partnerships
- plan to scale across cities or add new vehicle types over time
- prioritise brand ownership and customer relationship control
- want no revenue sharing or franchise fees

There isn’t a one‑size‑fits‑all solution 

For simple bike or e-bike fleets, the technology barrier is already low. Joining a franchise can be a fast way to get operations running with minimal setup.

However, operators with long-term ambitions - expanding into multiple vehicle types, scaling across locations, or maintaining consistent service quality - typically outgrow narrow tools. In those cases, a full-stack platform like ATOM Mobility offers the flexibility and control needed to support growth without rebuilding the tech foundation later.

Some operators start small and migrate as complexity increases. Others choose to build on a full platform from day one to avoid future transitions. The right choice depends on how clearly you define your growth path, desired level of control, and operational complexity from the start.

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How AI is already powering shared mobility: Real-world use cases from ATOM Mobility
How AI is already powering shared mobility: Real-world use cases from ATOM Mobility

📱AI in shared mobility isn’t a future trend – it’s already here, and for good. From detecting car damage to forecasting demand and verifying parking in real time, operators are using AI to reduce manual work and run more efficient fleets. In this new article, we break down 3 real use cases already live on the ATOM Mobility platform: 👁️ Vision AI, 🔍 Precision AI, 📊 Prediction AI. See how AI is changing shared mobility, and how you can start using it now.

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Artificial intelligence is no longer just a trend in mobility. For modern vehicle sharing and rental services, AI is already solving real operational problems and unlocking new ways to grow. At ATOM Mobility, several AI-powered features have already been implemented into live products and tested by operators across Europe.

This article shares three real-world AI use cases that are already helping operators reduce manual work, improve asset control, and better match vehicle availability to demand. 

1. Vision AI: Camera-based parking control for micromobility

Micromobility parking continues to be a challenge in cities where dockless vehicles can end up blocking sidewalks, crossings or entrances. Manual checks are costly and often too slow to solve the problem in real time.

ATOM Mobility now uses computer vision to solve this. With Vision AI, riders take a photo when ending their ride. The system analyses the image using a neural network to understand if the vehicle is parked correctly – within a designated zone and without creating obstructions. If not, the app notifies the user and prevents trip completion until the parking is corrected.Each parking photo is automatically tagged as “Good parking”, “Improvable parking” (the user receives guidance on how to improve the parking), or “Bad parking” (the user is asked to re-park).

If the user fails to submit a “Good parking” photo after several attempts, the system will accept the photo with its current tag (“Improvable” or “Bad parking”) and flag it in the dashboard for further customer support review.

This solution has been live with many operators already. It helps reduce complaints, improve compliance with city regulations, and lowers the need for manual reviews.

Photo: focalx.ai

2. Precision AI: Detecting car rental damages with cameras and machine learning

In traditional car rental, damage inspection is slow, manual, and often inconsistent. With self-service rentals becoming more popular, operators need a smarter and faster way to verify a vehicle’s condition between trips.

ATOM Mobility has integrated AI-powered damage detection using computer vision. Customers scan the vehicle at pick-up and drop-off. The app compares images and flags scratches, dents, or other visible damage with high accuracy. This allows operators to quickly assess responsibility and reduce disputes.

The system helps protect the fleet, lowers repair costs, and adds trust for both users and operators. It’s especially useful for car sharing and self-service rental models where physical handovers are skipped.

3. Prediction AI: Forecasting demand and automating vehicle relocation

One of the biggest cost factors in shared mobility is rebalancing the fleet. If scooters or cars are idle in the wrong location, revenue is lost. At the same time, relocating vehicles manually is expensive and not always efficient.

ATOM’s AI models use historical trip data, usage trends and contextual signals (such as day of the week or weather) to forecast demand and suggest the best relocation zones. This gives operators a map of where and when to move vehicles – improving utilisation and saving time.

The system can even be combined with automated relocation logic, where users are incentivised to park in high-demand areas. This shifts part of the rebalancing cost from operators to riders and keeps the fleet productive.

Why this matters now

AI tools are finally reaching the stage where they can operate reliably, even in complex environments like cities. These examples are not abstract ideas or lab tests. They’re active features helping ourcustomers run leaner, smarter fleets today.

For micromobility operators, Vision AI reduces complaints and ensures regulatory compliance. For car rental providers, Precision AI saves hours of staff time and improves trust. And for both, Prediction AI improves margins by making sure vehicles are where users need them.

What’s up next?

These are just the first steps. AI in mobility will continue to expand with smarter pricing engines, voice-based support, predictive maintenance, and more. But the examples above already prove that even small AI integrations can bring major improvements.

At ATOM Mobility, we continue building these tools directly into our platform so that operators don’t need to develop them in-house. If you want to see how these AI-powered features work in action, get in touch with our team.

AI in shared mobility is not about replacing people. It’s about giving operators better tools to run faster, smarter, and more efficient services.

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