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Scan your product packaging and prevent packaging errors


Instantly scan all your products 


Identify key and critical elements on all packaging


Ensure product compliance and reduce the risk of errors

With which tools?

  • With automated recognition of key elements

    Thanks to the advanced capabilities of our AI, you benefit from a tool capable of instantly deciphering the key elements of your product (composition, allergens, legal information, barcode...) regardless of the type of support (label, cardboard packaging, PDF, photo...).

  • With an error identification algorithm

    Thanks to our solution capable of comparing, referencing and analyzing the data present on each support, you will be alerted in case of erroneous information on the packaging of your products.

  • With a detection of missing elements

    Thanks to our AI, we detect the absence of key elements on the packaging of your products (DLC, EMB, composition, denomination...), and benefit from suggestions based on advanced search algorithms.

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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?


Read more