Zest, a new restaurant discovery app, launched with backing from Seven Seven Six (776), Alexis Ohanian's venture fund, and Kindred Ventures. The platform uses transaction data and artificial intelligence to deliver personalized restaurant recommendations grounded in where users actually dine, not algorithmic guesses.
The core insight behind Zest addresses a real problem in restaurant discovery. Existing apps like Yelp and Google Maps rely on ratings, reviews, and search behavior—signals that don't always reflect genuine dining patterns. Zest flips this by analyzing actual transaction history. If you eat at upscale sushi restaurants monthly and grab coffee at independent roasters daily, Zest's AI learns your real preferences and surfaces similar places you haven't tried.
This transaction-based approach gives Zest a competitive edge. The app ingests credit card and payment data (with user consent) to build behavioral profiles far richer than what users explicitly input. The AI then identifies patterns across millions of dining choices to make recommendations that feel personal rather than generic.
776, which focuses on consumer and social investments, and Kindred Ventures, known for backing AI-driven startups, both align with Zest's thesis. Ohanian's fund has backed other consumer plays, while Kindred's portfolio spans everything from autonomous systems to workplace AI. This backing signals confidence in Zest's data science approach and market timing.
The restaurant discovery space remains fragmented. OpenTable dominates reservations, while Yelp holds much of review traffic. Google Maps captures search behavior. None have cracked the "discovery" problem elegantly—the friction of finding a new place that actually matches your taste. Zest positions itself to fill that gap by removing the guesswork.
The regulatory and privacy landscape around transaction data usage will matter. Zest will need clear consent frameworks and data handling