From Maintenance to Manufacturing Excellence
Unlock Efficiency and Precision
Data Collection
Data Cleaning
Data Visualization
AI & Deployment
Explainability & Interpretability
Data Collection
Import relational databases (postgreSQL, mySQL, Oracle, MicrosoftSQL), upload CVS and Excel files, and insert APIs from a custom Python script.
Data Cleaning
The AI platform’s agile ETL will speed up massive data transfers to enhance your productivity outputs. The calculation engines are distributed without any configuration on your part.
Data Visualization
Create your own analyses and choose from the different vizualization models offered (Statistics, Histograms of numerical and categorical data…). You can also view 2D, 3D and geographical plots.
AI & Deployment
In papAI, powerful Machine Learning engineering will enable you to swiftly and easily deploy your predictive models throughout your pipelines: Feature Selection, Element Coding & Scaling, and Data Separation.
Explainability & Interpretability
papAI offers a high degree of explicability of results thanks to its counter factual and feature impact functionality.
Manufacturing 4.0: Accelerate Growth with Advanced AI Technologie
No-Code. Low-Code. Pro-Code
Of Explainability Rate, Offering Clarity and Trust in AI-driven insights in the Manufacturing sector
0
%
Business Team Benefits
With papAI, business experts are not simply recipients of the results of data science but become active participants in the process. They can take part in data cleansing, visualize data using intuitive visual tools, and participate in the creation and optimization of models.
Business experts can explore, share and manage datasets using papAI’s integrated data catalog. papAI without replicating data acts as an audit tool on all available data, wherever it is actually stored, and helps to make business sense of it.
papAI offers various explainable AI features, such as feature contribution analysis, sub-population analysis, and Shapley values. These tools can help business experts understand the decisions made by machine learning models and make informed decisions.
Data Scientists Benefits
Data scientists can build, orchestrate and optimize data pipelines from a No-Code graphical user interface, to accelerate and simplify the process of data preparation and analysis + data lineage, data governance, and automation.
All the tasks generated by users through no-code operations generate Spark tasks. These tasks are then automatically orchestrated on the integrated Spark cluster for optimal load balancing. The underlying infrastructure is self-managed and highly scalable. (Kubernetes).
papAI offers robust MLOps capabilities, enabling users to automatically deploy machine learning models in production, monitor them for quality and availability, and quickly retrain and redeploy them.
Hours Saved for Each Data Scientist Environment/Month
0
%
The AI Platform Built for Your Industry
Overall Equipment Effectiveness
Maximize productivity by monitoring equipment performance
Downtime Prediction
Minimize machine downtime and improve uptime through predictive maintenance
Quality Rate
Track the percentage of products that meet quality standards
Maintenance Cost per Unit
Lower maintenance expenses by optimizing schedules and repairs
Machine Learning and Predictive Analytics
Harness data insights for proactive failure detection
High explainability power
Understand failure prediction algorithms with clarity and transparency
Visualization and Reporting
Gain actionable insights through intuitive data visualization
Real-time Monitoring
Detect and respond to failure at the moment
Speed up the journey from data collection to swift AI-driven decision-making
Discover how papAI simplifies AI project deployment in the banking sector by expediting loan approval, enhancing fraud detection, optimizing customer service, and streamlining risk assessment.
Explore how papAI streamlines AI project deployment in the insurance sector by accelerating claim processing, enhancing fraud detection, optimizing underwriting processes, and improving customer service.
Discover how papAI accelerates AI project deployment in the fintech sector by automating investment recommendations, improving customer onboarding, optimizing portfolio management, and streamlining risk assessment.
How do we ensure our client's success?
“Today, when the solution tells us that there is no asbestos on a wagon, we can trust it 100%! It has never been wrong. And when it reports the presence of asbestos, the error rate is less than 1%.”
Patrick Munsch -
Head of Wagon Maintenance & Engineering- SNCF
Head of Wagon Maintenance & Engineering- SNCF
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AI-powered churn prediction systems have been shown to reduce churn costs by up to 80%.
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