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Eliminate irrelevant elements and refine your corrective actions


Detect false online reviews and eliminate them from your benchmarks 


Improve the authenticity of the analyses you conduct and make better decisions


Benefit from a tool that instantly monitors millions of reviews worldwide

With which tools?

  • With automated review collection and analysis

    Easily collect data from the world's largest review and e-commerce platforms.

  • With automatic detection of false reviews

    With a combination of three techniques: Natural Language Processing (NLP) for comment analysis, spectral partitioning for users and outlier detection for time series.

  • With decision support

    With detailed analyses, you get reliable data and insights that show where you can improve.

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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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