Optimization of the energy consumption of infrastructures and machines
Monitor energy consumption. Detect energy saving opportunities. Alert of consumption peaks.
Predictive maintenance
Detect anomalies preventively, anticipate breakdowns, reduce unscheduled downtime and improve production quality.
Optimizing Production Processes
Simulate and evaluate multiple optimization scenarios to help make decisions. Choose to execute or ignore recommendations, or automate repetitive tasks.
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
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
Better management of spare parts stocks
Reduced maintenance costs
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.
Associated use cases
Anomaly Detection
Artificial intelligence automatically detects and prioritizes problems. In the manufacturing sector, detect anomalies preventively, anticipate breakdowns, reduce unscheduled downtime and improve production quality.