Millions of restaurants, hundreds of millions of dishes, and the billions of relationships between them — one living, queryable web of food.
Every node in the graph has a type, rich attributes, and edges to everything it is related to.
Identity, location, cuisine, hours, price band and brand lineage. The anchor entity every food application starts from.
Sections, items, modifiers, descriptions and prices. Resolved across languages and formats into canonical dishes.
The hidden layer. Every dish knows what it contains — ingredients, allergens, dietary labels and substitutions.
A cultural taxonomy connecting dishes to their cuisines, regions and traditions — so searches understand meaning, not just words.
Calories, macros and health labels computed at dish level and traced back to ingredients, with confidence scores.
Per-location, per-time pricing intelligence. Track how a bowl of ramen moves across cities, seasons and delivery channels.
Tokyo Ramen Shop // Restaurant · 水 └─ Menu (2026) // Menu · 木 └─ Tonkotsu Ramen // Dish · 火 ├─ Pork Bone Broth // Ingredient · 土 ├─ Chashu // Ingredient · 土 ├─ 720 kcal // Nutrition · 金 └─ Japanese Cuisine // Cuisine · 木 // Cross edges resolve instantly: Tonkotsu Ramen → 4,182 restaurants · 31 countries Pork Bone Broth → 9 cuisines · 214 dishes "contains egg" → allergens propagate to 1.2M dishes
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