Loop

Loop AI builds AI coworkers for restaurant operators: finance, marketing and operations agents that run on one governed model of every system a restaurant group uses. The platform connects point of sale, accounting, banking, payroll, labor management, cameras, loyalty, payments and review systems, lets the operator define and approve what each metric, table and formula means, and then lets the agents answer questions and carry out work from that shared context. It is built for multi unit restaurant brands and the finance, marketing and operations teams that run them. The three agents cover the recurring work of each function, and all of them work from the same approved definitions rather than from separate exports, so an answer about labor cost or reconciled revenue means the same thing whichever agent gives it. Data quality checks flag inconsistent or missing definitions before an agent relies on them. Native connectors are listed for Oracle Simphony, SpotOn, Clover, Brink, Qu, Lavu, NetSuite, Sage Intacct, QuickBooks Online, Xero, Dayforce, UKG, Harri, DoorDash, Uber Eats, Grubhub, OpenTable, Yelp, Plaid, Snowflake, Google Workspace and a range of camera systems, with no middleware required. Pricing is not published. There is no pricing page, and the vendor sells through direct conversations and demos with operators. The product positions itself as a governed system of record for restaurant data with agents on top, not a chat assistant attached to one point of sale, and the vendor's home page frames it as the AI workforce for restaurants rather than a general business tool.