Import relational databases (postgreSQL, mySQL, Oracle, MicrosoftSQL), upload CVS 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 vizualization 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 & Scaling, and Data Separation.
papAI offers a high degree of explicability of results thanks to its counter factual and feature impact functionality.
Empowering Data Scientists & Business Experts with AI that Addresses your Specific Requirements
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.
The AI Platform Built for Your Industry
Weak Signal Detection
Accurately detect subtle indicators of future churn
Anomaly Detection
Identify abnormal behavior for churn prevention
Churn Rate
Epxplore the percentage of customers who churn over a given period.
Customer Lifetime Value
Identify high-value customers who are at risk of churning
Machine Learning and Predictive Analytics
Harness data insights for proactive fraud detection
High explainability power
Understand churn prediction algorithms with clarity and transparency
Visualization and Reporting
Gain actionable insights through intuitive data visualization
Real-time Monitoring
Detect and respond to churn 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?
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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.