Increase uptime and reduce costs with digital maintenance strategy

Maintenance 4.0 in industry is not limited to factories of the future. It can be introduced and adapted to your context regardless of your level of digital maturity and types of maintenance (preventive, curative, predictive).

Value-added services portfolio embedded in our solution

The combination of IoT solutions and artificial intelligence paves the way for predictive maintenance thanks to the ability to anticipate breakdowns before they occur.

Smart Maintenance Planning

SAV intervention and digitized reports

Remote assistance

Digital work instruction

Optimize daily preventive maintenance operations

Preventive maintenance operations based on scheduled recommendations cannot ensure that equipment is maintained in optimal operating condition. Our industrial IoT platform takes these operations to the next level by taking into account actual equipment wear while also digitalizing the entire process.

Interventions specifically suited to the needs of your equipment


  • Optimized frequency of preventive maintenance operations by transitioning from scheduled maintenance operations to maintenance based on actual wear cycles (hour counters, number of operation cycles completed, etc.)
  • A fully digitalized process with maintenance reports including comments and remarks from technicians and even the client’s electronic signature. The teams’ expertise is therefore safeguarded and files are further enhanced.

Simplified procedures for operators and technicians


  • Maintenance operations are anticipated by the equipment and communicated to maintenance teams in advance via dedicated posts for scheduling purposes.
  • Maintenance teams are assisted by digitalised maintenance files listing the procedures to follow (tasks, instructions, etc.) and access to documentation directly in the application if needed.

Reduce machine downtime with corrective maintenance

The cost of a production shutdown is considerable in industry sectors with fast-paced operations. Responsiveness is therefore key in reducing restart times for broken down equipment. The InUse platform provides a practical solution that allows maintenance operators and technicians to resolve these incidents more quickly with greater independence.

Towards a digitalized Maintenance


  • Identification of the most problematic shutdowns allows you to focus on the most important ones. It identifies frequency, the duration of the downtime, and the complexity of the troubleshooting process.
  • Digitalised root cause analysis based on the expertise of the most experienced technicians. A specific model is created for each shutdown including the various root causes and associated resolution methods.
  • Creation of a digital breakdown reference frame made possible thanks to the digitalisation of collective knowledge. Human-machine cooperation is the key to a complete and intelligent application.

Instant and precise diagnosis with an associated resolution procedure


  • Instant diagnosis of the failure sent to the users concerned with additional information on the shutdown and most probable root cause
  • Operators and technicians are more independent on the ground thanks to assistance that confirms the diagnosis of the shutdown and the resolution method to follow for faster restart times.
  • Additional external assistance is available in the application itself (written interaction with experts, video assistance)