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Allergic and intolerant profiles: does going to restaurants have to be risky?
For allergic profiles, not knowing that's on your plate at a restaurant is a major concern. What are some solutions?
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Nutrition applications: not to be blindly trusted
Nutrition applications say they want to help you buy "good" products. But they need reliable source data. Our findings and solutions.
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Is consuming locally automatically more sustainable?
Local consumption is a new requirement for consumers who also want to buy organic and sustainable products. But what is the real environmental cost of food?
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Youmeal, artificial intelligence that's constantly learning
Youmeal, a "machine learning" technology The more the machine learns, the more accurate the information it supplies becomes.
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Using algorithms for more accurate nutritional information
Thanks to its powerful algorithms, the software developed by Youmeal gives objective information about food. The data is verified and enhanced using artificial intelligence in "machine learning" mode.
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Traffic-light: is this nutritional labelling system enough for consumers?
"Traffic light" is a nutritional labelling system based on the classic tricolor traffic light. But is this enough for consumers?
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Simplified Nutritional Labelling System (SENS), a nutritional labeling system recommended by supermarkets
Simplified Nutritional Labelling System (SENS), a nutritional labeling system, classifies foods using 4 colors according to a recommended frequency of consumption.
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Nutri-repère, visual food information
The nutri-repère nutrition labeling system facilitates the decisions of a consumer increasingly aware of a healthy diet.
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