Real-time queue infrastructure
The queue engine your chain runs on.
DeepQ is a real-time queue and service-flow engine for multi-location service businesses. It runs underneath your brand, alongside the systems you already have — so your customers get a live, honest wait, and your floor gets a live, honest view of itself.

Every location runs its own queue. None of them agree.
A chain with forty locations has forty different waiting systems — a paper list here, a phone call there, a whiteboard, someone’s memory. Customers can’t see where they stand. Managers can’t see capacity until the floor is already backed up. Head office finds out a week later, in a report.
The queue is the most operationally expensive part of a service business, and it is almost always the least instrumented.
An engine, not an app
DeepQ handles bookings, walk-ins, queue state, staff assignment and live estimates. Your brand sits on top. Your customers never see ours.
One queue, however they arrive
Appointments, remote queue-joins and walk-ins land in the same ordered queue. Not three systems pretending to be one.
Live across every location
A change on a floor tablet in one branch reflects on the network dashboard and on the customer's screen.
- 01
Connect
DeepQ runs as a service alongside your existing booking, POS or clinic system. It does not replace them.
- 02
Brand
Customer-facing surfaces carry your identity, your domain, your tone. Multi-brand deployments run from one platform.
- 03
Deploy
Location by location. Start with one branch, prove it, roll out.
- 04
Operate
Your managers run the floor. Your head office watches the network. We run the infrastructure.
This is running software.
DeepQ is in production today across a multi-store salon network — customer booking and live wait visibility, a floor assignment console, and a network dashboard covering every location from one login.

Customer view
live position, estimated wait, and status without an app install

Floor console
assign, start, complete, and handle exceptions in one board

Network view
queue load, wait times and staff utilisation across every location
Illustrative data.
Hosting
Microsoft Azure
Data residency
India
Live updates
SignalR with SSE fallback
Status
Patent pending — IPO application 202541130807
Tell us how your floor runs today.
We'll tell you honestly whether DeepQ helps — and what it would take to run it in one of your locations.
