Proactive maintenance
Reactive maintenance = stress, extra costs, and dissatisfied customers. The Axolotl AI engine helps you detect failures and repair needs in advance and balance preventive maintenance with reactive interventions.
Reactive maintenance = stress, extra costs, and dissatisfied customers. The Axolotl AI engine helps you detect failures and repair needs in advance and balance preventive maintenance with reactive interventions.
Reactive maintenance = stress, extra costs, and dissatisfied customers. The Axolotl AI engine helps you detect failures and repair needs in advance and balance preventive maintenance with reactive interventions.
Nos clients
Nos clients
Nos clients
Reactive maintenance hinders your performance.
When managing a large fleet of devices (or any other significant fleet), the increase in unexpected failures and repairs significantly raises costs.
Between seasonality, contractual constraints, and the weather, it is difficult to prioritize interventions optimally.
Reactive maintenance hinders your performance.
When managing a large fleet of devices (or any other significant fleet), the increase in unexpected failures and repairs significantly raises costs.
Between seasonality, contractual constraints, and the weather, it is difficult to prioritize interventions optimally.
Exit maintenance in firefighter mode
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Analysis of intervention histories by agency or site.
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Analysis of intervention histories by agency or site.
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Analysis of intervention histories by agency or site.
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Taking into account external factors (schedule, weather, peak usage…).
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Taking into account external factors (schedule, weather, peak usage…).
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Taking into account external factors (schedule, weather, peak usage…).
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Workload prediction: Axolotl calculates the likelihood of failure or the need for maintenance for each piece of equipment.
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Workload prediction: Axolotl calculates the likelihood of failure or the need for maintenance for each piece of equipment.
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Workload prediction: Axolotl calculates the likelihood of failure or the need for maintenance for each piece of equipment.
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Continuous adjustment: the model improves by learning from each new intervention.
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Continuous adjustment: the model improves by learning from each new intervention.
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Continuous adjustment: the model improves by learning from each new intervention.
The results that transform your maintenance
An average accuracy of 91% for the daily workload.
An average accuracy of 91% for the daily workload.
An average accuracy of 91% for the daily workload.
Reduction of overall variability by about 20%: you plan resources more efficiently.
Reduction of overall variability by about 20%: you plan resources more efficiently.
Reduction of overall variability by about 20%: you plan resources more efficiently.
Do you want to reduce emergency interventions and better manage maintenance?
Do you want to reduce emergency interventions and better manage maintenance?
Do you want to reduce emergency interventions and better manage maintenance?
