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 Adaptive AI
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 Fraud Detection Solution Built for Your Industry
Weak Signal Detection
Uncover subtle fraud indicators with precision.
Anomaly Detection
Identify abnormal behavior for fraud prevention.
Pattern Recognition
Spot fraudulent patterns swiftly and accurately.
fraud risk scoring
Assess fraud likelihood with reliable scoring methods.
Machine Learning and Predictive Analytics
Harness data insights for proactive fraud detection.
High explainability power
Understand fraud detection algorithms with clarity and transparency.
Visualization and Reporting
Gain actionable insights through intuitive data visualization.
Real-time Monitoring
Detect and respond to fraud in the moment.
How do we ensure our client's success?
Discover Our Use Cases
Explore our extensive range of use cases to see how papAI can address your specific needs and drive success in your organization.
Stay Ahead of Fraud - Sign Up for a Demo Today
AI-powered fraud detection systems have been shown to reduce fraud costs by up to 80%.
Book your demo now to see papAI in action.