Optimize maintenance operations in real time

papAI, the AI platform that anticipates maintenance needs and prevents production shortage

The papAI platform enables companies to achieve their ambitions around industry 4.0. 

and to meet their strategic challenges in predictive maintenance

papAI plateforme collaborative IA

Build each step of the Machine Learning models and propose the best areas of improvement to reinforce decision making.

Support you in predicting machine breakdowns and prioritising your repair actions.

Get transparency on the result obtained thanks to the interpretability

From Monitoring to Predictive Maintenance

Increased equipment availability and reduced unplanned downtime

Improved production quality through increased equipment reliability

Extended equipment life

Reduced equipment failure rate

Reduced maintenance costs

Better management of spare parts stocks

Benefits of the papAI platform
on predictive maintenance

Data collection and analysis to anticipate the defects and provide advanced interpretability to act accordingly, with objectives of driving maintenance operations at the right time: not too early to reduce costs, not too late to prevent breakdowns and production shortage.

0 %
Cut maintenance costs by 10% to 40%
0 %
CapEx reduction in new machines
0 %
Breakdowns reduction

Associated use cases

Maintenance predictive

Detection of anomalies on rolling stock

The SNCF uses our diagnostic tool to identify defective equipment on rolling stock and thus better manage maintenance interventions.

Learn about the impact of AI
in the Industry 4.0 sector

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