RESOURCES

Discovering the future of taste
design through global research

We are committed to driving flavor technology and innovation forward

WHITE PAPER

Gastrograph AI Perception and Preference Model Central Loaction Test (CLT) Validation

Our double-blind validation study with Ajinomoto shows how Gastrograph AI outperforms traditional central location testing research.

validation web
CASE STUDY

Beverage Flavor Discovery

How a drink manufacturer uncovered a new beverage flavor for millennial females in Japan

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WHITE PAPER

Flavor Sensitivity

Determining flavor-attribute sensitivity of panelists

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CONFERENCE POSTER

Detecting Flaws with Data Science and Machine Learning

A conference poster from the Master Brewers Association of the Americas

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WHITE PAPER

Predicting Market Preference from Tasting Panels

WHITE PAPER

LFDA on Beer Style Clustering

WHITE PAPER

Reviewing Experience Levels of Tasters

WHITE PAPER

Quantifying Reviewer Trust

WHITE PAPER

Hierarchical Data Modeling

WHITE PAPER

Semantic Lexicons: A New Technique for Predicting Sensory Perception

CASE STUDY

How We Made a Sparkling Water Better Than LaCroix

CONFERENCE POSTER

Using Human Sensory Data to Find and Predict Beer Flaws

CONFERENCE POSTER

Predicting Market Preference from Tasting Panels

CONFERENCE POSTER

Sensometrics 2020 - Sense the Energy

CONFERENCE POSTER

Consumer Preference Changes Induced by COVID-19

Create a better-tasting world

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