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NEW YORK, March 17, 2021 /PRNewswire/ -- Analytical Flavor Systems (AFS), the company behind Gastrograph AI, an AI platform that models human sensory perception of flavor, aroma, and texture to predict consumer preferences of food and beverage products, today released the results of a new blind research study proving that Gastrograph AI can far more accurately and quickly predict food and beverage perceptions and preferences among different demographic groups than central location testing (CLT). The company also announced significant momentum, including increased commercial adoption and funding from Sony Innovation Fund and BASF Venture Capital.
The research, conducted in collaboration with Ajinomoto Co., Inc., a company specializing in amino acid and currently promoting digital transformation in R&D, is the first publicly available validation study of Gastrograph's AI platform. Ajinomoto, a major player in the food industry, designed the blind validation study for Gastrograph's predictions. Ipsos, a global leader in consumer research in China, ran the study. The Gastrograph System performed better than the CLT at characterizing and predicting consumer perception and preference, based on data collected in Japan and translated to the Chinese market across 9 demographic splits. Details of the research can be found here.