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Screen your products, integrate new standards and optimize your value proposition


Automate the referencing of all your product components


Improve your responsiveness to regulatory changes


Evaluate your products and adapt your positioning

With which tools?

  • With automated data identification and collection

    With our AI, scan all types of formats (text, composition, images, logos...) and consolidate the collected information with existing data sources to establish reliable and complete databases.

  • With component detection and classification

    Thanks to the analysis of collected data and the use of precise filters, detect each product integrating "sensitive" components. This analysis automatically adapts to the latest regulations.

  • With an increased reactivity to legal evolutions

    Thanks to the knowledge acquired on your products, their components and the market needs, you are now able to face the changes in regulations, and can be alerted immediately in case of risks concerning your products.

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Our publications


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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Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.


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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.


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