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Predictive maintenance
Our AI-based failure prediction application assesses the remaining life cycle of each machine component. It allows technicians to plan interventions at the right time.
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Predictive Maintenance features
Discover all the features of our AI application.
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Dashboard
Visualisation of the history of failures, life cycles and values of each sensor per machine.
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Predicted failures
Prediction of the number of remaining cycles for each machine with an indication of the margin of error.
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Explicability of results
Explicability of results to identify the origin of a future failure or the effectiveness of maintenance.
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Prioritisation of maintenance operations
Taking into account the cost of each intervention to prioritise and optimise maintenance operations.
Our application is compatible with
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Our application is compatible with
The benefits of Predictive Maintenance
Discover the different benefits of our application for users.
Increased machine availability
Increased machine availability and reduced associated costs
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Reduction in the number of breakdowns
Changing the part before the fault occurs
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Reduction of maintenance costs
Optimisation of technical interventions
An operational application in record time
We integrate our applications into your company in less than 7 weeks.
Week 1
01
Technical framing
The data available at the customer's premises is audited.
Week 3
02
Data Collection
The data connectors are created in compliance with RGPD constraints.
Week 4
03
Application integration
The application is integrated within your company and into your existing tools.
Week 7
04
Operation of the application
The application is ready to be used in production.
Week 7
05
Evolution and maintenance
The application benefits from all evolutions and permanent technical support.
Our case studies
GRT Gaz
The company wanted to equip itself with a tool that would enable it to optimise the maintenance operations of its 10,000 pieces of gas network equipment.
Issue
Several thousand maintenance operations are carried out each year on the network, which represents a significant cost.
15%
observed failure rate
Solution
The predictive maintenance tool makes it possible to know which equipment is likely to fail and therefore to prioritise operations correctly.
500
recommended operations / year
Result
Eliminate unnecessary maintenance, save time, increase equipment availability.
-25%
Maintenance cost
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