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TOMRA Systems ASA (Asker, NO)TOMRA Food LUCAi
Deep-learning model on TOMRA optical sorting machines that sorts and grades fresh fruit by defects.

- Provider based in the EU
- Publishes certification/GDPR safeguards
Last checked: 2 November 2026 · How we check
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Comparable in the food industry
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own image recognition model (according to the provider); deep learning model trained on its own fruit images from 20+ seasons, runs on the sorting machine (according to the provider); GDPR and standard contractual clauses outside the EU (according to the provider); data processing agreements with service providers (according to the provider); hosting and ISO 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 TOMRA Food LUCAi
- Which AI model does TOMRA Food LUCAi use?
- The maker of TOMRA Food LUCAi does not publish which AI model is underneath. Own image recognition model (according to the provider); deep learning model trained on its own fruit images from 20+ seasons, runs on the sorting machine (according to the provider); GDPR and standard contractual clauses outside the EU (according to the provider); data processing agreements with service providers (according to the provider); hosting and ISO certification sought, not published.
- How much does TOMRA Food LUCAi cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is TOMRA Food LUCAi for?
- TOMRA Food LUCAi 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 value, 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.
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