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Boost your business with AI-driven location


Calculate the risks incurred by each beneficiary as accurately as possible


Determine the ideal rate based on the risk criteria of your choice 


Benefit from accurate, comprehensive, nationwide data

With which tools?

  • With automated transport data integration

    Thanks to an exhaustive database integrating the means of transport operating within a given perimeter (bus, subway, train...), estimate the data related to various trips such as travel times or carbon footprint.

  • With simulations translating different scenarios

    Our AI algorithms calculate the evolution of your employees' commuting times according to projected locations.

  • With the definition of key location areas

    Thanks to the identification of key areas, you can easily define locations close to your customers and suppliers.

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Our publications


Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?


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Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.


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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.


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