Skip to main content

Build a repository of practices in your sector


Gain access to objective data on company transformations


Complete your analysis with the integration of collective agreements 


Use  our solution’s search engine to explore the positions of different companies on specific topics (mobility, remote work, flex-office, etc.)

With which tools?

  • With enriched databases

    Thanks to reliable sources (government websites such as Legifrance and SIRENE), get the most accurate information possible.

  • With in-depth data analysis

    Thanks to the NLP technologies integrated in our solution, you can highlight useful information (number of authorized remote work days, average allowances, etc.) that will help you answer various questions related to flexible mobility in companies.

  • With a clear restitution of search results

    Thanks to a dashboard prioritizing and grouping the results, you can easily visualize the sectors concerned, the different measures and the observed evolutions.

Request a demo

Request a demo

*Required fields

This site is protected by reCAPTCHA and by the Google system.

Privacy Policy and Terms of Service apply.

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.


Read more
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).


Read more

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?


Read more