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Build a pragmatic vision of changes in companies

We develop automated data capture and analysis solutions via NLP. This allows us to quantify structural changes within companies through the analysis of collective agreements. We identify measures taken and linked to a specific theme, for example, remote work, skills management, or environmental measures.

Investigation of remote work measures

Within the framework of an internal study, we collected all of the remote work policies available on Legifrance. We used our Doc Review solution to analyze the measures taken: average compensation per day of remote work and the average number of days. To deepen the analysis, we studied different axes: sector of activity, size of companies, location, etc. This work allowed us to develop a pragmatic and exhaustive view of remote work.

AI solutions for collective agreements

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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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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