RestaurantOS AI

Live app: https://restaurantos-ai.fly.dev — tap Try the live demo: order as a Customer (voice ordering in EN/TE/TA/ES) or sign in as Staff. RestaurantOS AI is an AI general manager for independent, multilingual restaurants. Guests order the way they talk — in English, Telugu, Tamil, or Spanish — at a kiosk or by phone. Muse Voice Transcribe hears them; Muse Spark turns each utterance into orders over a closed menu, and every station sees only its own dishes, in its own language, with the guest's name on the ticket. The manager doesn't watch dashboards — the system watches everything else. It forecasts ingredient run-outs from the restaurant's own order history using statistics (zero AI tokens spent watching), and when a threshold trips, Muse Spark narrates a caution with its decision attached: "Paneer runs out about 7:20 tonight. Order now, or take it off the menu." Every caution shows its work — why it fired, which dish is burning the ingredient, which station is a cook short. Nothing acts on its own: the system proposes, a manager approves, and every decision lands in an audit log. It onboards from a single menu link (AI drafts menu, stations, and roles for one review screen), runs inventory from a counted opening stock — every order consumes ingredients automatically, a shelf photo counts what's there, a supplier bill scan becomes a stock-in draft — and it knows its regulars: when one drifts away it drafts a personal win-back message with their usual on the house, for a manager's approval. Two protections are built in, not bolted on. AI-drafted ingredient lists stay drafts until the kitchen approves them, and the recipe itself — the process — is never stored, only ingredients and quantities. And for back-office reasoning, ingredient and dish names reach the external model only as per-restaurant codes (a different code in every kitchen), decoded locally; the AI sees codes, not names. Orders from outside systems (any POS or online channel) flow into the same ledger through a source-tagged, idempotent ingestion pipe, so stock and analytics cover every order. A founder console watches the whole fleet for owners with more than one location.