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Adjust your retention strategy and consolidate your workforce over the long term


Identify the reasons for employee resignations


Detect at-risk profiles 


Improve the employee experience

With which tools?

  • Leverage data from your various HR tools

    With the information collected through your HR tools, identify and understand the factors leading to employee resignation.

  • With a detection of the profiles at risk of resigning

    Thanks to the AI integrated into our bot, predict and identify the most at-risk profiles likely to resign among your employees.

  • With decision support

    Thanks to predictive algorithms, you have the links between factors which explain employee resignations. Explore different areas of improvement and quantify the expected effects.

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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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