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PolySense BV (Ghent, BE)Polysense
You mount cameras above your production line, and Polysense uses AI to measure every product for size, shape, colour and defects. The AutoControl module then automatically adjusts machine settings.
Shared spot10of 16 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is based in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in food industry
GDPR: Limited
- Provider based in the EU
Priceon request
Free trialNone foundNot found on the provider's site when checked on 3 November 2026
Based inGhent, BEEU
ModelNot publicproprietary image recognition model via inline cameras, no language model (according to the provider); on-premise installation on the production line (according to the provider); hosting and certification sought, not published
Last checked: 3 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Inline cameras on 100% of production
Length, width, height, shape, volume
Foreign objects: stone, plastic, wood
Colour distribution per batch and shift
AutoControl adjusts machine parameters
Real-time dashboards with production data
Integration with PLC, SCADA, MES, ERP, BIComparable in the food industry
Delicious DataFree
OneThirdon request
FoodDocs$99-$299 per location/month (annually…
Nutriticson request
Qcifyon request
Robovision Indurionon requestPolysense compared
Underlying model
GDPR check for the food industry Own image recognition model via inline cameras, not a language model (according to provider); installation on-premise on the production line (according to provider); hosting 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 Polysense
- Which AI model does Polysense use?
- The maker of Polysense does not disclose which AI model sits underneath. Own image recognition model via inline cameras, not a language model (according to provider); installation on-premise on the production line (according to provider); hosting and certification sought, not published.
- What does Polysense cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Polysense for?
- Polysense is aimed at the food industry and industry & manufacturing. It suits work such as optically inspecting products and sorting them by defects, ripeness and internal quality, forecasting shelf life and demand to limit 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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