MenuClaw builds the world's largest restaurant knowledge graph — the structured, connected layer of truth that every food AI application has been missing.
The restaurant industry runs on the world's most fragmented data. Menus live in PDFs, photos, delivery apps and POS systems — designed for hungry humans, illegible to machines. As AI began answering "what should I eat?", every model hit the same wall: there was no structured, connected layer of truth about food.
MenuClaw exists to be that layer. We built the extraction engines, the entity resolution, and the global knowledge graph that turns a blurred menu photo into typed, queryable, relationship-rich data — then exposed it as infrastructure any company can build on.
Our north star is simple: by the time an AI assistant answers a question about food, it should be grounded in the most complete and accurate restaurant dataset on earth — not a guess scraped from a search index.
We are builders, data engineers and food obsessives. Backed for the long term, shipping for the AI food era.
Food data isn't content to be scraped — it's a durable asset, maintained with the same rigor as a database. Clean, licensed, continuously refreshed.
Billions of unstructured menus mean nothing without typed entities and real relationships. Resolution quality is our first product.
Developer-first everything: predictable APIs, great docs, honest limits. If it isn't easy to integrate, we haven't finished.
Tonkotsu vs. shoyu matters. We sweat regional cuisines, allergens and pricing because accuracy lives in the details.
Every entity is scored, versioned and traceable. When an AI tells someone what to eat, it should be able to stand behind the answer.
We grow with POS, delivery and SaaS platforms rather than competing with them. Their success is our data flywheel.
MenuClaw starts with a simple frustration: AI models can't answer what to eat because there's no structured data about food.
Vision and NLP pipelines turn the first million menu photos and PDFs into typed dishes, ingredients and prices.
Entity resolution connects restaurants to dishes to ingredients across languages and cuisines — billions of relationships.
Developer-first APIs open the graph to AI companies, POS platforms, delivery platforms and restaurant SaaS.
Private deployments, model-training datasets and the food data flywheel begin compounding for the AI era.
Partner with the restaurant intelligence layer powering the next generation of food AI.
