Label screener

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

- 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

- Financial Services & Compliance

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.

2023

- Marketing & Sales

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.

2023

See our publications