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by JasonCEC
3276 days ago
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My company[1] Analytical Flavor Systems is a vertically integrated domain-expert based AI for new product development, flavor profile optimization, and predictive manufacturing in the food and beverage industry. Like the article and some of the comments here suggest, it took years of domain expertise (most of the team comes out of the Tea Institute at Penn State, a research Institute for tea and tea tasting), followed by years of R&D to collect the proprietary data-sets and develop the models. And then it took a year or so to build a product around the AI's predictive capabilities - this isn't the shortest or easiest path, but we're still going strong! I think companies like this are hard to build, hard to fund, and hard to compete with. Where I disagree with other comments is on the competitive side; we've developed a few of our own algorithms[2] (not generic or even "played with some options" neural nets / deep learning) trained on specialized and proprietary data set from years of work and collection - now that we've dug our moat, I don't think anyone will be competitive with out specialized AI for modeling human sensory perception and predicting preferences[3] of food and beverage products anytime soon! [1] www.Gastrograph.com [2] https://gastrograph.com/resources/whitepapers/local-fisher-d... [3][PDF] https://gastrograph.com/resources/whitepapers/2017-market-pr... |
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