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 predictive consumer intelligence, grounded in sensory science, validated by research institutions, and built for real commercial decisions.
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.
Other offerings
