Understanding consumers should NOT be a set of averaged static metrics.
It should be a reconstruction, preserving each consumer's full-dimensional taste preferences, behavioural patterns, and state-dependent responses, available to query anytime.
Trusted by industry leads.
TasteNET gives innovation teams high-fidelity consumer archetypes, grounded in science and real world consumer data.
Features
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.
Our methodology
Start from sensory identity
Traditional consumer testing asks what people think. We measure what's behind. Psychophysics captures stable sensory fingerprints: the thresholds, intensity comfort window, and preference patterns. Thermodynamics models why those preferences hold: every food decision seeks a lower-energy equilibrium, where sensory perception reward outweighs the cost of processing.
Sensory Perception Variance: Up to 27% difference across individuals, each occupies a different point on perception landscape.
Internal State Influence: Mood and body state shift the equilibrium by up to 15%, where surveys can't assess.
External Context: Environment and cultural exposure displace thresholds by up to 18%, static reports miss a moving target.
Psychophysical baselines + thermodynamic equilibria + real-time context = Simulation ready.
