Utilities & Metering

Consumption measured monthly is managed monthly.

Continuous flow, pressure and consumption monitoring across distributed infrastructure — so losses are located, demand is understood, and crews are sent to a problem rather than a district.

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See the platform
Built for
Network, operations and revenue teams
Connects
Meters, flow, pressure and SCADA
Deploys
Sovereign cloud, private cloud or on-site

/ The shift /

What is actually happening today — and what changes.

Flip between the operation as it runs now and the operation once the data is joined up.

  1. 01
    Losses appear on an invoice.

    A number that says something went wrong somewhere, last month.

  2. 02
    Crews are dispatched to search.

    Field time is spent finding the problem rather than fixing it.

  3. 03
    Consumption is a total, not a pattern.

    Which makes forecasting, tariffing and tenant billing an argument.

/ How it works /

From signal to decision in four moves.

Each step runs on the shared IoT Cube foundation, so nothing here is a separate system to maintain.

  1. 1

    Read every meter remotely

    Smart meters, pulse retrofits, flow and pressure sensors report over low-power networks or cellular, including unmanned and unpowered sites.

  2. 2

    Place readings on the network

    Each meter is linked to its district, site, tenant and GIS location, so consumption can be balanced zone by zone.

  3. 3

    Locate the abnormal

    Night flow, inflow-versus-billed balance and pressure patterns separate genuine loss and leakage from normal demand.

  4. 4

    Send crews to a place

    A field job is raised with the segment, meter and evidence attached, and closed back into the record when the fix is done.

/ What you get /

Capability, not just visibility.

Leak and loss localisation

District inflow is balanced against the sum of downstream meters, and minimum night flow is tracked per zone. Persistent gaps narrow a loss to a district, segment or single meter.

Remote metering on unmanned sites

Battery-powered endpoints report over LoRaWAN or NB-IoT on a set schedule. Missing reads, tamper flags and low battery raise their own alerts.

Pressure, flow and quality monitoring

Pressure, flow and water-quality sensors are sampled continuously. Transients, low-pressure events and out-of-range quality readings trigger alerts tied to their location.

Consumption analytics and profiles

Interval reads build daily and seasonal profiles by site, tenant and process. Abnormal usage is flagged against that profile rather than a fixed limit.

Field dispatch with location attached

Confirmed alarms create work orders in your work management system with coordinates, asset and readings, and the outcome is recorded on close.

Regulator, tenant and internal reports

Consumption, losses, incidents and meter performance are reported per period and audience, from tenant statements to internal loss reviews.

/ Use cases /

Where teams put it to work first.

Locate network leakage

Balance district inflow against downstream meters and night flow, then narrow a loss to a segment before crews leave.

Read unmanned sites remotely

Bring battery-powered meters on remote and unpowered sites onto low-power networks, with alerts for missing reads and tamper.

Bill tenants from actual reads

Give each tenant or process its own consumption profile, so statements are based on measured use rather than estimates.

Dispatch crews to a location

Raise field jobs with coordinates, meter and readings attached, and close the outcome back into the network record.

/ Benefits by team /

Every team gets a different answer from the same record.

01

Network operations

Losses are placed on the network within hours, so engineers work from a location instead of a monthly balance.

02

Revenue

Silent, stuck and tampered meters are identified automatically, and billing works from known reads and known gaps.

03

Field teams

Crews arrive at a located problem with the evidence, and spend their time fixing rather than searching.

04

IT

Validated reads flow to billing, CIS and GIS through APIs or scheduled files, across mixed meter brands and protocols.

/ In practice /

What it looks like on an ordinary Tuesday.

Three moments where the platform earns its place. Scenarios are illustrative.

The signal

Minimum night flow in a district metered area in north Riyadh rises and stays high for three nights.

  1. 1

    The platform flags the sustained rise against that district’s night-flow profile.

  2. 2

    The network engineer compares pressure data and narrows the loss to one street segment.

  3. 3

    A crew is dispatched to the segment with the location and readings.

The outcome

The crew goes to a street, not a district.

/ Technology /

Four layers. One record underneath.

Device-neutral at the bottom, open at the top, and sovereign all the way through.

01

Devices in the field

Keep the hardware you already have

  • Smart water, gas and electricity meters
  • Flow and pressure sensors
  • Pulse and Modbus retrofits
  • LoRaWAN and NB-IoT endpoints
  • Pumps and valves
02

Connectivity & protocols

Any carrier, any protocol

  • DLMS/COSEM
  • Modbus TCP / RTU
  • M-Bus
  • LoRaWAN
  • NB-IoT / LTE-M
  • LwM2M
  • MQTT
  • 4G/5G via any Saudi carrier
03

IoT Cube platform

Sovereign, multi-tenant, AI-neutral

  • Device registry & OTA
  • Time-series store
  • Geospatial engine
  • Rules & alerting engine
  • Workflow automation
  • Reporting & exports
04

Your systems of record

Data lands where decisions are made

  • Billing
  • CIS
  • GIS
  • SCADA
  • Work management

A utility moved from monthly reads to continuous monitoring and turned an estimated loss figure into a located one — changing how crews were dispatched.

Story pending customer confirmation

/ What you measure /

Numbers that replace arguments.

The indicators this solution produces continuously, per asset, per site and per contract.

Non-revenue water

Volume entering the network that is not billed, by district metered area and period.

Minimum night flow

Lowest flow into a zone during night hours, used as a leakage indicator.

Read success rate

Share of meters delivering a valid read within their reporting window.

Time to locate

Time from a loss or leak alert to a confirmed location in the field.

Pressure compliance

Time each zone spends inside its target pressure band.

Consumption by segment

Usage by site, tenant, process and period, compared with its own profile.

/ Rollout /

Start with one decision. Scale what works.

  1. Phase 1

    Map the network and meters

    We review meter types, protocols, coverage, GIS data and billing flows, and pick districts or sites where losses are least understood.

  2. Phase 2

    Meter a pilot district

    Bulk and customer meters in one district are connected, with inflow, pressure and GIS locations brought into the same model.

  3. Phase 3

    Prove a located loss

    Night-flow and balance alerts are followed into the field until crews confirm leaks where the platform placed them.

  4. Phase 4

    Extend district by district

    More districts, meter types and billing integrations join on the same model. Weeks, not quarters, per wave.

/ Security & sovereignty /

Sovereign is a place, not a promise.

In-Kingdom residency

Data stored and processed inside Saudi Arabia, on infrastructure you can name in a tender.

Built to national controls

Designed to align with NCA cybersecurity controls and the Personal Data Protection Law.

Isolated by tenant

Tenant isolation, role-based access and a full audit trail across users, actions and devices.

Your cloud or site

Deploy into a sovereign cloud, your private cloud or on-premises without becoming a different product.

Read the data residency statement →

/ Built on IoT Cube /

Runs on the platform, not beside it.

Products already running this solution on the shared foundation.

/ Questions /

Frequently asked.

Do we have to replace our meters?

Often not. Pulse outputs and retrofit modules bring existing meters onto the platform.

What about sites with no power or coverage?

Battery endpoints and low-power networks are standard for exactly this.

Can tenants see their own consumption?

Yes, multi-tenancy is native to the platform rather than bolted on.

Does it integrate with our billing, CIS and GIS?

Yes. Validated reads go to billing and CIS, alarms and losses are placed on your GIS network model, and field jobs go to work management — through APIs, webhooks or scheduled files.

Which meter protocols do you support?

DLMS/COSEM, Modbus, M-Bus and pulse outputs are common starting points, over LoRaWAN, NB-IoT or cellular. If a meter speaks something else, we test it before we commit.

Can it produce reporting for the utility regulator?

The continuous record of consumption, losses and incidents is there to report from. Tell us the submissions you make to the utility regulator and we will map the reports to them.

Bring us the decision that takes too long today.

Start with the problem. IoT Cube provides the foundation underneath.

Request a Demo

Tell us about your operation. A specialist will get back to you to arrange a demo.