Explorex — The Memory Layer for Physical Commerce
~90% of Indian retail happens in person, yet offline venues have no memory of their customers. Restaurants run on disconnected tools, and every visit ends with zero data captured. Explorex fixes this by owning both sides of the dining transaction.
At the center is Elite, our consumer app that is redefining how people dine out. Diners see live table availability, browse dynamic menus, order, and self-checkout instantly — no waiting, no interruptions. Behind it sits our infrastructure stack: Bridge OS (the full-stack restaurant operating system), Clyro (WhatsApp-native CRM), and ReserveX — all feeding a single behavioral data layer.
That data layer is what makes Explorex fundamentally different. Delivery platforms only see orders. We capture real-world, in-venue behavior — what people order, how long they stay, how groups behave, how menus perform, how experiences shape spending. Because we operate the restaurant OS and the consumer touchpoint, this data is irreplicable.
We're now building Elara, an AI dining concierge that turns this data into real-time decision-making — factoring intent, context, availability, and historical behavior. This moves us beyond discovery into becoming the intelligence layer for offline commerce.
Today, Explorex powers 250+ partner restaurants and 3M+ diners across Bangalore and Hyderabad, processing 8M+ transactions annually (18M+ lifetime), and operates at breakeven.
Explorex is not a SaaS tool — it is the infrastructure layer for offline dining, with AI and consumer experience at its core. Think Shopify for restaurants, on its way to becoming the UPI of restaurant operations.
