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Quantify and map social benefits that have not been used to optimize your remediation plans.

With which tools?

  • With socio-economic data collection and analysis

    Thanks to a precise and complete cartography, determine which geographical areas (departments, municipalities...) are the most prone to non-take-up of social benefits.

  • With a dynamic display of results

    Thanks to the calculation power of our AI algorithm, highlight the most exposed territories, their exposure levels and easily establish comparisons at different scales.

  • With optimization of the actions to be taken

    Thanks to the analysis and detailed mapping of the collected data, prioritize your actions and adapt your activity in a targeted manner.

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Our publications


Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.


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Article title

Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).


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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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