papAI

Make data processing and analysis accessible to all users and quickly deploy predictive models to impact your business strategy.

Motion design

Transform your Operations with Data Science

Enterprise AI platform

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


Data Collection

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.

Data Cleaning

Improve your productivity by accelerating the processing of large volumes of data via its integrated ETL.
The calculation engines are distributed without any configuration on your part and in a completely transparent manner.

Create your own code (Python...) and customize it to obtain a personalized result at each stage of your visualization.

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

A powerful algorithm to recognise different types of models and detect missing values and duplicates.

Deployment

Quickly and easily deploy your predictive models through powerful Machine Learning pipelines (Feature Selection, Element Coding and Scaling, Data Separation...).

Form pipelines, compare their performance and use a model from a large array of algorithms (classification, regression, clustering and time series).

Your models are interpretable to better assess the accuracy of the selected model and give insight about input data relevance and impact on results.

Request brochure

Would you like more information? Ask for a brochure.


Congratulations. Your message has been sent successfully.
Error, please retry. Your message has not been sent.