papAI

A collaborative and scalable platform for end-to-end management of your data projects.
Collect, cleanse, analyze and deploy your predictive models.

Import relational databases (postgreSQL, mySQL, Oracle, MicrosoftSQL), upload CVS and Excel files, and insert APIs from a custom Python script.

An intuitive interface to quickly and easily integrate your data at any time during the prototyping of your predictive model.

The 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.

For your own personalized use and visualization, you have a great latitute to customize your code design via Python.

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. Compare several models for a better vizualisation and easily access the visualization models of your collaborators.

Our powerful algorithms recognize different types of models and detect missing values and duplicates.

Powerful Machine Learning engineering will enable you to swiftly and siploy deploy your predictive models throughout your pipelines : Feature Selection, Element Coding & Scaling and Data Separation.

Pipeline designs enable you to compare performance and use in large algorithms : regression, clustering, time series.

Your models' outputs would clearly access the accuracy in the selected model to render insightful input data relevance and results' utility.

Would you like more information? Ask for a brochure.

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