Home / Food industry / Foodpairing
Foodpairing NV (Ghent, BE)Foodpairing
Belgian AI platform with agents for product development at food and beverage manufacturers: concepts, formulation, consumer insight and flavour prediction.

- Provider based in the EU
Last checked: 1 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Comparable in the food industry
Delicious DataFree
OneThirdon request
FoodDocs$99-$299 per location/month (annually…
Nutriticson request
Qcifyon request
Robovision Indurionon requestFoodpairing compared
The maker does not publish which AI 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with 20,000+ ingredients, 3 million+ products and 10 million+ recipes (according to the provider); privacy policy outdated (refers to the Belgian law of 1992, not the GDPR); data may be stored in countries with less protection (according to the provider); hosting, training and certification sought, not published. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Foodpairing
- Which AI model does Foodpairing use?
- The maker of Foodpairing does not publish which AI model sits underneath. 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with 20,000+ ingredients, 3 million+ products and 10 million+ recipes (according to the provider); privacy policy outdated (refers to the Belgian law of 1992, not the GDPR); data may be stored in countries with less protection (according to the provider); hosting, training and certification sought, not published.
- How much does Foodpairing cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Foodpairing for?
- Foodpairing is aimed at the food industry. It fits work such as optically inspecting and sorting products by defects, ripeness and internal quality, forecasting shelf life and demand to reduce food waste and shrinkage, and developing and reformulating recipes, including nutritional values, allergens and labelling.
- 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.
Every Friday: what changed in AI for the food industry
New models, prices, oversight and tools, with sources and what it means for you. One email a week, unsubscribe with one click.
