The hospitality software veteran already helps millions of workers clock in, swap shifts and count stock. Its bigger bet is that twenty-five years of back-office data can tell every restaurant manager what to do next.
The payments unicorn tried to own everything from neighborhood dining rooms to NFL concessions. Then it sold the stadium business, kept the useful code, and returned to a harder, cleaner question: can one system give independent restaurants their margin and customer relationships back?
The Los Angeles company spent two decades turning the humble order screen into a commerce engine. Its real trick is less visible: making kiosks, apps, loyalty, delivery and aging restaurant systems behave like one machine.
A restaurateur and an AI engineer started with one painfully ordinary problem: the phone ringing during dinner service. Their answer now handles millions of guest conversations - but its real test is whether automation can make a restaurant feel more human, not less.
Expo is an AI platform for multi-unit restaurant operators that consolidates fragmented data from POS, inventory, labor, and guest-feedback systems into a single intelligent dashboard. Non-technical managers can ask their restaurant data questions in plain English and get answers - no analysts, no SQL, no Tableau build required. Founded by chef-turned-operator Will Pacio and tech veteran Dave Lu (the team formerly behind restaurant-staffing marketplace Pared), Expo connects to systems like Toast, Restaurant365, Crunchtime, Square, and DoorDash to automate reporting and surface operational insights for chains from QSR to fine dining.