Food Genius entered the crowded market of dish recommendation apps last year, using big data to revolutionize the way people discover restaurants and dishes. At the time, the startup’s focus was on getting (scraping) as much menu-level data as possible, which they parsed by ingredients, preparation methods, spices and other aspects of a dish, and then combined with a user’s personal preferences and reviews shared on other websites. The company was still exploring business models, but knew that collecting and combining data about what, when and where their users were eating could offer invaluable insights to anyone from consumer packaged goods companies (CPG) to mom-and-pop restaurants, CEO Justin Massa told me in an interview last year. And now, they’re releasing their first related product for businesses…

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