Import relational databases (postgreSQL, mySQL, Oracle, MicrosoftSQL), upload CSV and Excel files, and insert APIs from a custom Python script.
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.
Create your own analyses and choose from the different visualization models offered (Statistics, Histograms of numerical and categorical data…). You can also view 2D, 3D and geographical plots.
In papAI, powerful Machine Learning engineering will enable you to swiftly and easily deploy your predictive models throughout your pipelines: Feature Selection, Element Coding and scaling, and Data Separation.
papAI offers a high degree of explicability of results thanks to its counter factual and feature impact functionality.
AI in Energy:
Bridging the Gap Between Theory and Impact
Custom AI Solution for Data Scientists and Energy Experts
Benefits for Energy Experts
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.
Benefits for Data Scientists
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.
The AI Platform Built for Your Industry
Predictive Maintenance Efficiency
Predict failures and react in real time
Energy Consumption Forecast Accuracy
Ensure consumption forecasting for any system
Grid Reliability Index
Improve grid reliability and reduce the frequency of outages
Supply Chain Optimization
Reduce lead times and operational costs in the supply chain
Fraud Detection Accuracy
AI improves detection of fraudulent transactions
High explainability power
Understanding the results of algorithms clearly and transparently
Visualization and Reporting
Gain actionable insights through intuitive data visualization
Real-time Monitoring
Detect and respond to churn at the moment
Accelerate your AI deployment from data gathering to rapid AI-based decision-making
Find out how papAI improves energy consumption forecasts in the energy sector by analyzing large amounts of data, boosting model accuracy.
Discover how papAI revolutionizes fraud billing detection in the energy sector by expediting the implementation of AI projects, and refining accuracy in billing procedures.
How do we ensure our client's success?
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AI-powered churn prediction systems have been shown to reduce churn costs by up to 80%.
Book your demo now to see papAI in action.