
Riga-based e-scooter platform ATOM was the first of its kind to launch in the city in early 2019. Now, the startup has announced the launch of a new white label solution – enabling independent operators to easily manage their own fleet of shared vehicles through a platform and app. With ATOM’s solution, anyone with a fleet can create their own ride-sharing platform anywhere in the world in 20 days, without huge investments in an IT solution.

First version of the management dashboard (July, 2019)
“We were the first e-scooter sharing platform launched in Riga in April 2019,” said Arturs Burnins, ATOM CEO. “Thousands of users tested it and we put a lot of effort into making the platform work perfectly. Later we focused on different features that can be customized according to customer needs, as well as market requirements. Now anyone interested in creating his own ride sharing platform can do it easily in any country of the world.”
At a time when the scooter and bike sharing market is growing rapidly, the ATOM platform is the fastest way to launch a ride-sharing business. Individual operators and companies can use ATOM software to launch faster, and to capture market share. The company has already begun working with several clients, and is developing personalized ride sharing platforms. The biggest interest is from the Middle East and Europe, where the ATOM team is helping to customize the platform in accordance with local regulations. ATOM platform is already present in 6 countries with 2 more to come till the end of 2019.
ATOM’s solution includes a branded mobile app for riders, which is already operational on iOS and Android, app for employees/operators and a dashboard to manage vehicles, rides, and follow metrics. The app has a built-in “get a free ride” referral program that is optional and can be switched off. Several user registration options are available – ID card, driver’s license or other documents are required upon registration. Likewise, a number of payment options are available including a wallet, pay-per-ride, subscription and more than 30 parameters can be customized according to needs.
“For example, we are currently working on a project to develop an e-scooter sharing platform where all charging stations are integrated to the app,” said Arturs Burnins. “When the e-scooter is taken there and connected to the charger, it’s not possible to collect it until its battery has been charged to a particular level and the scooter is locked. This project is specific because we are also setting up different speed zones within the same city and few other interesting features.”
Together with the partner, ATOM provides customers with the telematic solution that will allow for the remote control of speed, distance, lights and even ignition. The platform owner can see the vehicle’s exact locations and its ride history on the dashboard. There is also an integrated wheel block solution to safeguard against theft or the illegal movement of the vehicle.
ATOM’s team supports personnel, shares best practice and constantly upgrades software. And it takes just 20 days to get the platform and app up and running.
#scootersharing #bikesharing #mopedsharing #carsharing #atommobility

⚡ Launch faster and integrate anywhere with ATOM Mobility API. Build your own mobility experience without rebuilding the backend. Learn how ATOM Mobility API lets you integrate, customize, and scale faster.
Shared mobility is moving beyond standalone apps. Operators today are expected to integrate into existing ecosystems - from hotel and airport platforms to corporate travel tools and MaaS apps. Building all of that from scratch is slow, expensive, and hard to scale.
That’s why ATOM Mobility offers a fully developed OpenAPI - allowing you to build your own mobility experience on top of a proven backend.
From app to platform
Most mobility solutions are still built as closed systems. That creates friction: integrations take time, custom features require heavy development, and expanding into new channels becomes complicated.
An API-first approach changes this.
Instead of rebuilding core functionality, operators can use ATOM Mobility as the underlying system and build their own layer on top. Booking flows, payments, vehicle control, and operational logic are already there - accessible via API.
What this enables in practice
With API access, mobility can be embedded directly where users already are.
- A ride can be booked from a hotel website. A car can be unlocked through a partner app. A custom frontend can be built for a specific market without touching the backend.
- At the same time, operators can connect their own tools: from internal dashboards to finance and reporting systems (for example, Power BI) creating a more automated and scalable operation.
The result is not just a mobility app, but a flexible system that can adapt to different markets, partners, and use cases.
What you can manage with ATOM Mobility API
🚗 Booking & ride management - search vehicles, reserve and unlock, start and end trips, manage ride status.
💳 Payments & users - create and manage users, handle payments and pricing, access booking history.
🛴 Fleet & operations - vehicle status and location, zones and restrictions, pricing configuration.
🔌 Integrations - connect third-party apps, sync with external systems, automate workflows and more...
Few use cases we already see
1. Embedded mobility in partner platforms
Booking directly from (no app download needed):
- hotel websites
- airport kiosks
- corporate travel portals
- MAAS apps (such as Umob)
2. Custom frontends and apps
Operators build:
- branded web apps
- niche UX flows
- country-specific experiences
All powered by ATOM Mobility backend.
3. IoT and hardware integrations
- sync vehicle data
- control locking/unlocking
4. Automation & internal tools
- reporting dashboards
- finance automation
- customer communication flows
Instead of spending months building core systems, operators can use ATOM API and focus on what actually drives growth - distribution and partnerships.
Interested to learn more or try it out?
Learn more:
https://www.atommobility.com/api
Explore the API:
https://app.rideatom.com/api/docs

🚗 Scaling a rental fleet without automating maintenance? That’s risky. Spreadsheets and routine checks might work at 20 vehicles, but once you grow past 50, things start slipping. More operators are using IoT telematics, automatic error codes, and mileage-based service alerts to catch issues early and keep vehicles available. See how rental fleet maintenance automation helps you scale without chaos.
How to automate maintenance alerts for rental fleets
Rental fleet maintenance automation is becoming essential for operators who want to scale without increasing operational complexity. Whether you manage cars, scooters, bikes, or mixed fleets, manual inspections and spreadsheets quickly fail once your fleet grows beyond a few dozen vehicles.
Breakdowns, missed services, and delayed repairs directly affect uptime, revenue, and customer satisfaction. Modern fleet technology makes it possible to automate maintenance using IoT telematics, onboard sensors, automatic error codes, mileage-based triggers, and structured dashboards.
Why manual maintenance tracking does not scale
In small fleets, maintenance is reactive. A customer reports an issue. A staff member checks the vehicle. Someone creates a task manually. This works for 20 vehicles, but for 200 it’s just too much work.
As fleets expand, issues are discovered too late, standards vary between locations, and staff spend more time coordinating than fixing. Rental fleet maintenance automation shifts operations from reactive repairs to preventive, system-driven workflows.
Using IoT telematics to monitor vehicles in real time
IoT telematics devices collect live data such as location, battery level, ignition status, engine health, and mileage. In car rental and car sharing fleets, telematics also track fuel levels, driving behaviour, and diagnostic information.
Instead of waiting for user reports, the system can trigger alerts automatically. For example:
- when a battery drops below 20 percent
- when a vehicle reaches a service mileage threshold
- when a vehicle leaves a defined service area
- when the vehicle receives a few negative reviews
This data feeds directly into the fleet platform, where workflows assign tasks automatically, reducing response times and eliminating internal coordination delays.
Onboard sensors and automatic error codes
Modern vehicles generate diagnostic trouble codes when systems fail. In connected fleets, these codes appear instantly in the operator dashboard.
If a vehicle reports a brake or engine warning, the system can block it from new bookings, notify technicians, and create a repair task automatically. In micromobility fleets, IoT modules detect tilt events, battery degradation, failed unlock attempts, or controller errors.
Digital reporting further improves vehicle availability. ATOM Mobility’s vehicle damage management feature shows how structured workflows reduce downtime and improve transparency.
Mileage-based and time-based service automation
Rule-based servicing is one of the most effective elements of rental fleet maintenance automation.
Operators can set simple service rules, such as:
- changing oil every 15,000 km
- checking brakes every 20,000 km
- running a safety check every six months

When a vehicle reaches one of these limits, the system creates a task automatically. The vehicle can also be temporarily removed from booking until the service is done. This becomes especially important when operating in multiple cities, because it keeps safety standards consistent across the entire fleet.
Maintenance dashboards and task automation
A maintenance dashboard centralises alerts, open issues, and upcoming service requirements.
With structured task management, teams can assign jobs, set priorities, track resolution times, and analyse recurring issues. ATOM Mobility’s Task Manager feature enables operators to convert alerts directly into trackable actions within one system. Alerts that turn into tasks automatically make it clear what needs fixing and when it should be handled.
From reactive to predictive maintenance
With enough historical data, fleets can move beyond fixed intervals. Operators can identify patterns such as faster brake wear in specific models or higher damage rates in certain areas. Predictive maintenance allows servicing based on actual usage intensity, reducing unnecessary costs while preventing major failures.
For operators growing from 50 to 500 vehicles, automation delivers clear advantages:
- higher uptime, because issues are detected earlier
- lower operational costs, since preventive repairs are cheaper than breakdowns
- improved safety and compliance, with no missed service intervals
- better customer experience, with fewer malfunctioning vehicles
- clearer performance metrics for management decisions
Automation supports maintenance teams with clearer priorities and better data.
Building the right automation stack
Effective rental fleet maintenance automation typically requires:
- IoT hardware
- a fleet management platform with automated alerts
- configurable service rules
- a task dashboard
- task automation logic
- analytics tools
When these components are connected, maintenance becomes scalable and controlled instead of reactive. This is especially important for operators running scooter, bike, car sharing, or rental businesses, where uptime directly impacts revenue and retention.
Rental fleet maintenance automation makes maintenance more organised and easier to manage as you grow. IoT telematics, automatic diagnostics, mileage alerts, and task dashboards help create clear processes that support expansion.
For rental and shared mobility operators who want to grow steadily, automating maintenance is essential. It helps keep operations stable and supports long-term profitability.


