Eatpol is a Wageningen-based spin-off from Wageningen University & Research, founded in 2025. It provides AI-powered consumer testing for food and beverage companies, helping them understand how real consumers experience products in their own kitchens rather than in artificial sensory booths. The company positions itself as a faster, more realistic alternative to traditional product testing. By combining in-home testing, AI analysis, and dashboard reporting, Eatpol aims to help brands reduce launch risk, sharpen positioning, and make evidence-based decisions before committing to production. Core Values Customer first : Eatpol says it builds around customer needs and measures success by the value it creates for clients. Open communication : The company emphasizes transparent, honest communication and keeping information flowing so teams and partners can do their best work. Integrity, reliability, and accountability : Eatpol highlights honesty, transparency, keeping promises, and taking ownership of outcomes. Dare to be different : The company presents itself as challenging convention and building a new approach to food consumer research. Allow others to thrive : Eatpol frames its work as creating space for people, partners, and clients to grow and succeed. Unique Aspects Founded from Wageningen research : Eatpol was developed at Wageningen University & Research and is presented as a spin-off company, giving it a strong scientific foundation in food science and AI. In-home, real-world testing model : Unlike sensory booths, Eatpol tests products in consumers’ own kitchens, capturing preparation, cooking, eating, and storage behavior in context. AI analysis of eating behavior : The platform automatically analyzes video to extract bites, chews, sips, emotions, and other behavioral signals, reducing manual coding. Privacy-first design : Eatpol says faces are automatically masked, identifiers are removed, and data is handled under GDPR with encrypted storage and consent-based collection. Fast turnaround : The company emphasizes rapid insight delivery, with results available in about one week from kickoff for many studies.
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