Consumer food perception is like a unique sensory 'fingerprint', shaped by body, emotion, and culture. We modelled 90,000+ real-world sensory fingerprints into our platform, so you can simulate your product's consumer acceptance before launch.
The sensory intelligence engine behind the digital twin simulation
Built on real-world consumer data, not synthetic ones
TasteNET Simulator is a market behaviour simulator built on real-world consumer taste preferences and psychological decision models. Every digital twin is grounded in first-party sensory profiles, not synthetic data. 128 persona types across 118 regions, privacy-first and ingredient-agnostic.
