Selection of the best Industrial IoT Platforms

A single, connected platform for frontline operations. Tulip builds the factory of tomorrow by connecting people, machines, devices and systems used in production or logistics processes in a physical company, thanks to software and connected objects.

Hiboo offers an integrated IoT solution for exploring equipment fleet data, in order to exploit all the possibilities to optimize site management, inventory or maintenance. The latter is specialized for the construction sector, the equipment rental and dealers sector, and the transport, logistics and waste sector.

Kuzzle designs its Smart Industry IoT platform to improve industrial performance, manufacturing tool capacity, production processes or maintenance needs. Real-time analysis and detailed dashboards allow optimized management of needs and production sites.

Fully modular according to needs, MerciYanis makes it easy to manage your premises, which have become intelligent buildings 100% adapted to maximized productivity. The sensors and connected objects thus ensure the detection, then the signal of an incident for rapid intervention.

These digital solutions allow real-time monitoring of the performance of the means of production, as well as reactive management. They are based on the latest technologies (connected objects, Android, Bluetooth, WIFI), and on the main principles of Lean Manufacturing.

Ubigreen is accelerating the energy transition of businesses and communities through digital solutions for optimizing building performance. These allow the reduction of the operational costs of the sites, as well as the proposal of a hybrid work experience.

This platform aims to revolutionize operational excellence by stimulating the transformation of all plant processes, from manufacturing to management.

A ready-to-use operational intelligence solution, OI Analytics aims to transform industrial data, through their collection and then their analysis, into a new lever for daily performance.

Specially designed for equipment manufacturers and factories, InUse gives manufacturers the power to quickly deploy new digital services that meet the eco-efficiency needs of production sites.

Industrial Internet of Things (IIoT) solutions allow manufacturers to reinvent their operations thanks to connected objects and real-time data analysis. This first self-service platform encourages agility, while helping you launch your products, improve the quality of your production or even obtain information on your supply chain.

As an IoT designer for the railway sector, Stimio designs modular, scalable and ready-to-deploy business solutions in the field. They combine both mechanical and software engineering, wireless telecommunications and data analysis, to remotely control rolling stock and infrastructure, and thus prevent the risk of failures.

Tailor-made applications and packaged solutions, mixed reality, artificial intelligence, IoT technologies: Innoteo's offer propels companies into the dynamics of the digital age and contributes to the development of the industry of the future. The service offer covers business development, data enhancement, customer relationship management and training.

The connected solutions developed by Nanolike mainly apply to silos and IBC containers: real-time monitoring, remote viewing, geofencing, alerts, or estimation of the filling rate. They thus make it possible to optimize all logistics processes.

Stackeo provides collaborative software and consulting services to help companies plan, adapt and optimize smart connected solutions. These are associated with modelling, simulation, as well as Digital Twin Network technology, in order to ensure the profitability, reliability and sustainability of the various projects.

Technilog leads IoT projects by positioning itself on the collection, translation and analysis of data, necessary for the visualization and control of equipment. It is then a question of connecting the factory as close as possible to the machines and tools, for better anticipation and supplying the business repositories.

Keep track of the status of machines and devices, create reports and generate predictive models in one place. An original analytical engine allows the use of machine learning without the need to program or knowledge the theory of algorithms.