Showcase · Service centres

Know how every visit really went.

For service authorities and branch networks: the whole visit, from the door, to the counter, and out again.

  • Private by design
  • Processing happens on the device
  • No photo is ever stored

What this is

Pulses: AI that understands your physical world.

Pulses.ai builds Physical Intelligence for enterprises and government: edge-AI Vision Devices, designed and made in the UAE, that turn physical spaces — venues, stations, showrooms, service centers — into live, actionable insight. All processing happens on the device; only anonymous metadata leaves. See. Understand. Act.

For service centres: complaints arrive after the visit.

Isometric illustration: a Pulses Vision device on its ceiling mount, above the floor of a service centre
  1. See

    Pulses Vision on the ceiling

  2. Understand

    Every zone and counter, understood

  3. Act

    Bad visits flagged for review

A visitor waiting alone on a bench, seen from behind, with the service counters out of focus

The problem

The complaint arrives after the visit.

Service centres measure tickets and transactions. People come in. They move around. They wait. Then they leave.

  • The wait nobody measures.

    Tickets show when a service ended. They do not show where people waited, or for how long.

  • The visit that went badly.

    You hear about it when the complaint arrives, not when it happened.

How it works

The whole visit, zone by zone, counter by counter.

  1. Isometric illustration: one route in through the door, past a bench, to the counter and out again
    01

    The whole visit

    From the door, to the counter, and out again. People come in, move between services, wait, and leave; Pulses Vision Devices understand the visit as it happens, on the device.

  2. Isometric illustration: three counters and a waiting area, each zone counted on its own, one counter idle
    02

    Every zone, every counter

    Every zone and every counter counted on its own: which were busy, which were idle, the path people took between services, where they waited and for how long, who was new and who came back.

  3. Isometric illustration: a row of waiting seats, the long wait flagged and ticked off on a review list
    03

    Flagged for review

    When a visit goes badly, it is flagged. The team reviews it the next day, against the standard the centre sets.

The product

The visit, the path and the wait, shown on screen.

Three Pulses OS screens, with illustrative data.

Pulses OS Live Centre screen: every zone and every counter as its own tile, busy, idle and waiting now
Illustrative data

Live Centre

Busy counters. Idle counters.

  • Every zone and every counter as its own tile
  • Busy, idle, waiting now
Pulses OS Visit Journeys screen: the path between services, and where people waited and for how long
Illustrative data

Visit Journeys

The path between services.

  • The path between services
  • Where people waited, and for how long
  • New and returning visits
Pulses OS Visits for Review screen: the visits that went badly, anonymous, by entry time and zone, with review ticks
Illustrative data

Visits for Review

Bad visits, flagged for review.

  • The visits that went badly, anonymous
  • By entry time and zone, with review ticks
  • Against the standard the centre sets

The film

From the door, to the counter, and out again.

Scenes and product screens in the film are illustrative.

Proof

150 million+

journeys counted across Pulses deployments

Anonymous platform total

Privacy

Private by design.

  • Processing happens on the device.
  • No photo is ever stored.
  • Only anonymous metadata leaves the device.
  • Runs in your own tenant or fully on-premise.

Insights, not images.

Empty waiting seats in a service centre at first light

Next step

See a full visit, from the door to the counter and out again.

Every visit understood, so every centre keeps improving the service it gives.

Or go to pulses.ai/demo

This page: pulses.ai/showcases/service-centres

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Deployed at

  • RTA
  • Dubai Police

Built on

  • Microsoft
  • NVIDIA
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