Nomi

Every chef wants the plate a guest gets on a busy Saturday night to look exactly like the one they designed, whoever is cooking it. They also want honest feedback from guests while the meal is still fresh, and a clear view of how their team is performing, without having to stand over every plate at the pass. Nomi is an Android and web app that gives the chef that oversight. The chef photographs a “Golden Plate” for each dish, and Nomi uses Meta’s AI models to compare plates from service against it and flag what’s off. Guests scan a QR code at their table to leave quick feedback, which goes straight back to the kitchen. Nomi only reports what it can actually see, count or hear, so the chef gets one trustworthy picture of consistency, guest feedback and staff output. For the restaurant, this means problems get caught during service, while the guest is still at the table, instead of turning up days later in an online review. New cooks learn faster because they have a clear standard to match. Conversations with staff become fair and specific because they rest on real evidence, not memory or gut feel. And the chef can step away from the pass knowing every dish still goes out the way they meant it, which protects the quality and reputation they’ve built.