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Foodpairing NV (Ghent, BE)How safe is Foodpairing for the food industry?
Foodpairing publishes limited privacy safeguards. Ask the provider for clarification before you put confidential food industry data into it.
Where does Foodpairing stand in the food industry?
Shared place 14 of 28 options for food industry (professional tools and general assistants) on GDPR profile. 7 options, like Foodpairing profile, have limited. Each tile is an option we track for this field; click for the check.
Published safeguards
not public which language model is used; AI agents on a proprietary knowledge graph (GraphDB) with 20,000+ ingredients, 3 million+ products and 10 million+ recipes (according to the provider); privacy policy outdated (refers to the Belgian law of 1992, not to the GDPR); data may be stored in countries with less protection (according to the provider); hosting, training and certification sought, not published
How to use Foodpairing safely
- Use the business variant and sign a data processing agreement (DPA).
- Do not enter unnecessary personal data into prompts; anonymise where possible.
- Enable EU data residency where the provider offers it.
- Keep a professional in the loop: in this sector the data is usually business data (recipes, suppliers, production figures) and rarely personal data, but recipes and specifications are trade secrets.
Stronger or equally strong in the food industry
Questions
- How safe is Foodpairing for the food industry?
- Foodpairing publishes limited privacy safeguards. Ask the provider for clarification before you put confidential food industry data into it. Limited or partly unknown safeguards: ask the provider.
- Does Foodpairing train on my data?
- not public which language model is used; AI agents on a proprietary knowledge graph (GraphDB) with 20,000+ ingredients, 3 million+ products and 10 million+ recipes (according to the provider); privacy policy outdated (refers to the Belgian law of 1992, not to the GDPR); data may be stored in countries with less protection (according to the provider); hosting, training and certification sought, not published
- What should I watch out for with AI in the food industry?
- In this sector the data is mostly business data (recipes, suppliers, production figures) and rarely personal data, but recipes and specifications are trade secrets. Ask every provider whether your data is used to train models: Trace One excludes training of public models, while OneThird, according to its terms, receives a perpetual licence to anonymised, aggregated data. Pay attention to hosting location: OneThird and Delicious Data host in the EU, SGS FoodNexus is Swiss, and with Qcify the American parent is the controller. Hardly any provider states which AI model sits behind it (Trace One names Gemini). An AI inspection or HACCP proposal does not replace release by a competent employee: legal responsibility for food safety (Regulation (EC) No 178/2002) and labelling (Regulation (EU) No 1169/2011) remains with you. Cameras on the shop floor can also capture employees; arrange that with the works council and a DPIA.
Source documents
Everything about Foodpairing Best AI for the food industry
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 1 November 2026 · How we check
Source: , checked on 1 November 2026
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