PREDICTIVE MAINTENANCE

Optimize infrastructure supervision in real time

papAI, the AI platform to reduce maintenance costs

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

and to meet their strategic challenges in predictive maintenance.

papAI-collaborative-platform-IA

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

The collection and analysis of data will make it possible to determine the probability factors of a defect or wear. The objective is to intervene at the right time: not too early to reduce costs, not too late to avoid breakdowns and production stoppages.

0
Reduce maintenance costs by 10% to 40% by extending the life of existing machines.
0
Reduce the amount invested in new machines by 3-5% by increasing the life of existing machines.
0
Reduce breakdowns by 40%. Reduce downtime on a production line

Associated use cases

SNCF USE CASE

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.

Discover the impact of AI in the Industry 4.0 sector