Predictive maintenance and optimised operations solutions

Trains, trams, metros, buses… Get the most out of your fleet and infrastructure with Stimio’s IoT solutions.

Solutions for urban and interurban mobility:

Dashboard maintenance prédictive ferroviaire

Our vision

Since its inception, Stimio is attached to develop rail predictive maintenance solutions through IoT to increase uptime, optimize maintenance costs, and avoid costly service disruption.

Our solutions are designed in a modular way, evolutive by nature, friendly to use and easy to deploy on the field. They are based on a strong technological core that combines mechanical and software engineering, wireless telecommunications, data analysis and cloud expertise.

Optimising operating and maintenance costs

We work closely with mobility players to solve their daily challenges. Digitalization is our business, understanding their challenges is in our DNA. We deploy state-of-the-art end-to-end IoT solutions to optimise your operations and bring you into the era of predictive maintenance.

Maintenance costs

Smart and well-planned maintenance with real-time and condition-based information straight to your EAM.

Operational reliability & Quality of Service

Get the most out of your fleet and infrastructure with relevant real-time information for continuous service quality.

Safety

More reliable fleet and infrastructure lead to a safer environment for passengers, employees and workers.

Fleet & infrastructure availability and reliability

Turn raw data to actionable information and deep understanding of your assets by anticipating failure-to-come.

Sustainability

Extend your assets’ lifetime and reduce on-field inspections to achieve growing environmentally-friendly goals.

They already trust us

Discover our success stories

Our solutions – Providing actionnable information

rolling stock predictive maintenance

Rolling stock real-time remote monitoring

With many years working side-by-side with rolling stocks operators and railway subsystems manufacturers, we have acquired a deep understanding of their daily challenges. Achieving much higher availability and reliability levels of rolling stock and its components is our main concern, as yours.

railway infrastructure predictive maintenance

Infrastructure & Signaling real-time remote monitoring

As rail networks around the globe continue to cope with increasing market requirements (availability, loads, sustainability…), ageing infrastructure and signalling systems, traditional manual inspections are no longer time or cost effective, even more with the decreasing personnel availability.

Our value proposition

A generic and modular software-driven sensor system with Edge-ML capabilities to address a wide range of use cases

Enriched data integration into your EAM/ IT systems

Oxygen Application Studio to develop your own application in minimum time

A well-proven expertise with major infrastructure managers and operators

Oxygen Asset Management combining data analytics and AI-based prediction algorithms

A Return-on-investment between 6 to 24 months.

Oxygen end-to-end general overview

oxygen iot platform maintenance

Testimonials

News

Monitoring and prediction of sand levels in silos

Monitoring and prediction of sand levels in silos

April, 21st 2022Monitoring and prediction of sand levels in silos  The large majority of rail rolling stock, trains, tramways and subways use sand to increase wheel-rail adhesion for traction and braking. Some conditions significantly decrease vehicle adhesion, such...

Don't miss any of our news, use cases, events...

Subscribe to our newsletter

and follow us