Ingredient Screener

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

- Financial Services & Compliance

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.

2023

- Government

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).

2023

- Financial Services & Compliance

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?

2023

See our publications