THE WORLD'S MOST ACCURATE SENSORY SCIENCE COMPANY

Only Tastry has unlocked how human senses interpret product chemistry.

THE WORLD'S MOST ACCURATE SENSORY SCIENCE COMPANY

Only Tastry has unlocked how human senses interpret product chemistry.

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Soon every product you use your senses to enjoy will connect to technology to help you choose your favorites. Stay up-to-date here.

    Creating a Wine Lover's Perfect Match

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    Chemical Analysis

    Wineries across the United States send bottles to the Tastry lab where thousands of chemical properties are analyzed.

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    Artificial Intelligence Engine

    Data from each product analysis is fed into a proprietary AI engine to "learn" its place in product comparisons and palate matches.

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    Palate Matches

    Wine lovers create an account, take a simple survey, and get percentage matches on every wine that are unique to their individual tastes.

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    No one argues with the incontestable fact that tasting is a subjective endeavor. The measure of an effective wine critic should be his or her timely and useful rendering of an intelligent laundry list of good examples of different styles of winemaking in various price categories.

    Robert Parker

    Tastry's Science of the Senses

    Early on in the founding of Tastry we identified the need for advancements over what we considered to be the subjective views of tasting panels and critics to provide consumers with more objective data to use when evaluating food and beverages. We developed chemometric alternatives to these traditional systems that utilize chemistry with mathematical and statistical methods instead.

    Problems with Human Sensory Panels

    The data obtained from human sensory evaluation is inherently inconsistent. Even with the most carefully designed method, a panelist's personal preferences and acuity change dramatically from a large number of factors. Unlike chemistry, there is no way to completely control a human-issued sensory test. Accuracy isn't the only issue. In the beer and wine industries, trained panels are expensive to perform. Moreover, trained panelists do not perceive tastes the same way the general population does. So the outputs from an expensive and inherently flawed panel are difficult to apply to a target consumer base.

    Substituting Analytical Chemistry for Humans

    Though once thought impossible, Tastry has successfully developed proprietary methods for quality evaluation and market performance prediction of food, beverages, fragrances and other sensory products. We employ these to provide hyper-specific product recommenders for retail that don't rely on human panels. With this analytical chemistry based framework, we are able to rank and subdivide products according to the preferences of a user or demographic. This permits artisans and manufacturers to integrate sensory information at every stage of product development - from formulation to marketing, optimization of sales margins and even the best geographic distribution.

    The Tastry Way

    Tastry sensory science based recommenders do just what Robert Parker proposes: they narrow down an inventory of products to those that specific palates are most likely to enjoy, and allow the user to filter resulting matches based on price, occasion, how well they match a friend's preferences, how well they complement other products (like pairing wine with food), and more. The applications of this data is limited only by the imaginations of the makers and retailers who take advantage of it. At Tastry, we like to say "we taught a computer how to taste." But we also taught it how to match the palates and preferences of individuals and groups of consumers. Tastry will power the future of commerce, not purely with product data, but by its intimate connection to the data that powers the human senses.

    Tastry Sensory Science Key Benefits

      • Eliminate inherent errors in human ratings and reviews.
      • Predict market performance of any sensory-based product.
      • Compare predicted performance for pricing decisions.
      • Custom blend products to target tastes before launch.
      • Gain objective insight into target consumer tastes.
      • Evaluate chemistry of differently rated products.
      • Compare and suggest products across different categories.