About us
Our vision
The Internet of Things is a revolution that impacts all economic sectors, expectations are high: in Operations performance, Productivity, IoT can also change the Companies business models with a renewed use of assets.
However, before moving into structural changes of organization and investments, decisions makers may face hurdles implementing heterogeneous technologies and finding the hardware and software elements that meet their specific needs.
Our ambition
Our solutions are designed in a modular way, evolutive by nature, friendly to use and easy to deploy on the field.
Served by a strong technological core that combines mechanical and software engineering, wireless telecommunications, and data analysis. Assets under monitoring are then monitor remotely, real time continuously. We predict failures, analyze abnormal behavior, and give insights to understand root causes and solve the issues.
Your contacts
Vincent Couvreur
President
David Dorval
CEO
Our timeline
Quality management
As a proof of our strong commitment to high quality, Stimio is certified under ISO9001:2005 for our design, manufacturing and marketing of IoT electronic and radio based solutions for B2B market activity.
Our partners
Technology / Corporate / Finance / Business
News
Press Release – Framework Agreement Signing with SNCF Voyageurs
March, 9th 2021Framework Agreement Signing with SNCF VoyageursStimio to announce the signing of a 5-year framework contract (2020-2025) for the supply of IoT connected devices to its client SNCF VOYAGEURS.Nantes, France, March 9, 2021 - Stimio, a tech company...
Remote and real-time flood monitoring of transformers
January, 28th, 2021Flood remote monitoring of transformersIn 2016, violent floods hit French territory. Following this episode, ENEDIS, the distribution managing company of the French electricity network (38,000 employees, 37 million customers, 14 billion € of...
Remote condition monitoring of train doors
November, 17th, 2020Train door condition monitoringRolling stock operators manage heterogenous rolling stock fleets composed of recent and old vehicles. Older trains are less “connected” and therefore provide less monitoring data related to system status and health....