
What is Mobility-as-a-Service and why MaaS matters for your mobility business?
MaaS is short for Mobility-as-a-Servive, and simply put, it combines various mobility options into a single unified mobility app for a city or region.
Today, we have more options for getting from point A to point B than ever before. Vehicle-sharing, ride-hailing, and all sorts of rental services for all types of transports have grown deeply ingrained in our day-to-day lives, fundamentally changing how we choose to move and commute through cities.
But, as we all know, quantity doesn't necessarily equal quality. Just because there are many more options for transportation, doesn't mean that they're the most effective for getting where you want to go:
- Crossing an entire city on a scooter will quickly become costly and exhausting.
- Renting a car may still have you stuck in traffic.
- Commuting with a rental moped may be less environmentally friendly than potential alternatives, e.g. public transportation.
- Managing half-a-dozen applications to find the best deals also gets tiresome.
That's where MaaS comes in.
In what follows, we'll take a closer look at what is Mobility-as-a-Service, explore some examples of MaaS implementations, and how MaaS may impact your own mobility business.
Mobility-as-a-Service definition
MaaS solutions integrate various forms of transport services into a single multimodal mobility service accessible on demand. These different transport forms include public transport, as well as ride, car-sharing, and bike-sharing, and others.
Multimodal simply means that users can combine various types of mobility when planning their journeys, e.g. taking a bus for the first leg of the trip and then hopping on a scooter for the last mile.
MaaS has been the talk of the mobility industry for years now and the Mobility-as-a-Service market size is projected to grow explosively over the coming years, especially in the Asia Pacific region.
What are the benefits of Mobility-as-a-Service?
Multimodality is one of the main ones for end-users. Others include a single payment system and general ease-of-use made possible by having multiple mobility services under one roof.
Typically, there are different payment plans available – a monthly subscription model with a fixed monthly fee or “pay-as-you-go” model, where each booked trip is priced separately.
But MaaS is not JUST a mobility service aggregator for city dwellers.
The primary client of a MaaS solution is the municipality. A MaaS solution is first and foremost intended as a way for a city to modernize and gain control over its mobility networks and data.
MaaS lets the local government offer a convenient mobility solution, while equipping the city with insight on transit data, movement flows, and mobility preferences. It also empowers the city to nudge desirable traveler behavior, i.e. promote certain modes of mobility.
For example, the city might subsidize discounts for an integrated bike rental solution during the summer to encourage people to choose cycling over other types of transportation.
MaaS brings together both public and private players – MaaS platform developers, mobility service providers, public transport authorities, and others – and project ownership typically lies with a public institution, hence it may be inaccurate to speak of a general Mobility-as-a-Service business model.
While individual mobility providers may profit from integration as it allows them to reach a broader audience, the MaaS project as a whole will usually operate at a loss. After all, at its core lies public transportation and its core purpose is to improve quality of urban life, not make profit.
Still, MaaS comes in all shapes and sizes, so what are the models of Mobility-as-a-Service? Let's explore this through some examples.
Mobility-as-a-Service examples
One textbook example of a MaaS solution is Berlin's Jelbi. Created by Trafi and Berlin's public transport authority BVG, it brings together every kind of public and shared mobility – ready to be booked in a moment’s notice right from the app.
With Jelbi, Berliners can easily plan multimodal journeys, buy public transport tickets, and pay for services with all the most popular payment methods. With public transport as the backbone, Berlin has built mobility hubs – physical stations across the city, where people can switch from public transport to shared mobility – to facilitate convenient multimodal transport and encourage people to leave their cars at home.

Trafi was also behind yumuv in Switzerland, which was one of the first that trialed a regional MaaS solution with subscriptions connecting the three cities of Zurich, Bern, and Basel. Though it was only a research project, its ambitious scope spells the potential future of MaaS – a country-wide mobility solution accessible from a single app.
In fact, such a solution has already seen the light of day – glimble. Created by another major player in the MaaS development scene, Moovit, glimble enables easy travel within the Netherlands, offering most of the same benefits as Jelbi, but on a national scale.
A MaaS solution done differently
Technically, if we look at MaaS as a unified multimodal mobility app, then Google Maps also qualifies as a MaaS solution, though it stands out for its global scope and not being tied to any particular city.
Google has proactively partnered with micro mobility partners in various regions, has integrated public transport timetables, and done more to offer a convenient route planning solution. However, the lack of payment integrations and minimal adaptation to local markets makes Google Maps more of a map application with some MaaS capabilities, rather than a full fledged MaaS solution. By the way, are you aware that ATOM Mobility customers can easily showcase their vehicles on Google Maps for free?
Why does MaaS matter to your shared mobility business?
If you're a micro mobility service provider and your city is mulling over launching a MaaS solution, it may be wise to get your foot in the door. Having your service integrated within the city mobility app confers various benefits.
For one, it enables you to reach more people. Being on the city's MaaS app will expose your service to commuters that might otherwise elect to choose other modes of transportation. It also helps overcome a critical adoption barrier – people will be able to conveniently use and pay for your solution, without having to download and sign-up on your individual app.

Secondly and continuing the previous point, it's potentially free advertising. Cities are invested in maximizing their MaaS solution's adoption and spend significant resources in popularizing it. As a result, partnering service providers can piggyback on the marketing efforts of the public transport authority.
Thirdly, it embeds your business with an additional layer of legitimacy. Namely, your solution being chosen by the city gives it an air of “official”ness, especially if your competitors aren't on it. Once again, this may help attract more users.
MaaS – an evolution in urban mobility
MaaS lets cities and their citizens take control over a rapidly evolving mobility landscape. With so many different types of transportation and dozens of companies competing over customers, it can all get a bit hectic.
At the end of the day, finding the best way – be it quickest, cheapest, or environmentally friendliest – is in the interests of both cities and travelers and that's exactly what MaaS tries to offer.
Whether MaaS will become a standard across cities is yet to be seen, as MaaS companies, much like other large-scale mobility businesses, continue to struggle to reach profitability with Finnish startup MaaS Global recently filing for bankruptcy. Still, the technology behind it was snatched up soonafter by Dutch MaaS company umob, signalling faith in the MaaS project at large.
So, if you're a mobility service provider, MaaS is something that you shouldn't ignore.
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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.
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.

📱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.
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.

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.


