Energy monitoring

See energy use per machine.

A plant-level meter tells you the bill. It won't tell you which machine is wasting it. IoT Octopus measures electrical load and power on each asset, so you can find hidden waste, cut cost and carbon — and spot the rising draw that signals a machine in trouble. No rewiring, no shutdown.

Prefer to start small? Ask about metering a handful of high-draw machines.

Built on Google Cloud · per-customer data isolation · Ontario-based

What customers see · illustrative
Energy per machine · illustrative
Compressor 2
Power draw rising vs baseline
Alert
Process pump
Load above benchmark
Watch
Exhaust fan
Energy use steady
Healthy

The bill tells you the total. It won't tell you where it went.

One bill, no breakdown

Your utility meter gives you one number for the whole plant. It can't tell you which machine, line or shift is driving the cost.

Creeping draw, no alarm

A motor or compressor slowly pulling more power than it should runs for months unnoticed — nothing alarms when energy drifts above where it used to sit.

Idle and off-shift running

Machines left running at idle, or through breaks and off-shifts, quietly burn energy with nothing to show for it.

Carbon you can't account for

When you can't see energy per machine, you can't report emissions with confidence or prove where a reduction actually came from.

Energy, broken out machine by machine.

1

Mount the wireless sensor

Non-invasive sensors attach to each machine in minutes — no rewiring, no shutdown — and start reading electrical load and power right away.

2

AI watches load & power

It learns each machine's normal consumption and benchmarks every asset, so steady, rising and wasteful draw are easy to tell apart.

3

Get savings & alerts

You see energy use per machine, with per-machine benchmarks that flag the waste to cut and the rising draw that signals a developing fault.

What you get from per-machine energy data.

Energy use, machine by machine

See exactly where electricity goes — by asset, line and shift — instead of one plant-level number on the bill.

Waste flagged early

Idle running, off-shift draw and machines drifting above benchmark surface as something you can act on first.

Cost and carbon you can report

Per-machine data you can turn into defensible savings and emissions reporting — not estimates.

Turn one plant-level number into per-machine energy your team can act on — cut the waste, and catch the failing asset that draw is warning you about.

Real, measured results · 2025

The same per-machine data finds waste — and catches failures.

Energy data and equipment health come from the same signals — a machine pulling more than it should is often a machine starting to fail. In a 2025 deployment at an Ontario building-products manufacturer, IoT Octopus watched a drive motor in silent observation and saw the bearing failure coming two full days out.

$31,200 CADCost of the failure: $27,000 lost production + $4,200 repairs
48 hoursOf warning visible before the bearing seized
Under $200 CADThe lubrication job that warning pointed to
Caught early, this is a sub-$200 lubrication job scheduled for the next maintenance window — not a $31,200 line-down event. The same per-machine data that caught it also shows you where your energy is going.

Read the full case study →

Background reading: the real cost of unplanned downtime.

Built for industrial reliability.

Built on Google Cloud

Secure, scalable infrastructure your IT team can trust.

Per-customer data isolation

Your data stays yours, isolated per customer and never used to train shared models.

Ontario-based

Built and supported from Kitchener, Ontario, with a Canadian primary data region.

Minutes to install

Non-invasive wireless sensors mount on a running machine in minutes, with no rewiring and no shutdown.

Energy monitoring, answered.

How do you measure energy use per machine?

A non-invasive wireless sensor reads each asset's electrical load and power over time, so you see consumption machine by machine instead of one plant-level number. There is no rewiring and no shutdown to install, and monitoring starts the same day.

Can it actually cut our cost and carbon?

It shows where energy goes asset by asset — idle running, off-shift draw and machines drifting above their benchmark — so you can act on the biggest waste first. Cutting wasted electricity cuts both the bill and the carbon that comes with it, and you can prove where the reduction came from.

How does rising energy use relate to a machine failing?

A machine pulling more load or power than its baseline is often a machine starting to fail — added friction, wear or imbalance shows up as extra draw. The same per-machine data that finds energy waste also gives early warning of a developing fault.

How long does it take to install?

Minutes per asset. The sensors are non-invasive and wireless, so they mount on a running machine with no rewiring and no shutdown, and the AI builds each machine's baseline from there.

How is our data secured, and where is it stored?

Your equipment data is encrypted in transit and at rest, with per-customer data isolation. The primary data region is Canada, and the platform is built on Google Cloud. You own your data at all times.

Can we start with just a few machines?

Yes. Many teams start by metering a handful of high-draw or critical machines, prove the value, then expand across more lines and sites. There is no minimum to begin.

Want the whole picture?

Energy monitoring is one part of the platform. Explore how IoT Octopus turns machine data into action across every asset and site.

Book a demo.

See energy monitoring running on your equipment — electrical load and power, broken out machine by machine.

  • Built on Google Cloud
  • Per-customer data isolation
  • Ontario-based
  • A real person follows up within one business day

Real 2025 result: 48 hours of warning before a $31,200 bearing failure at an Ontario building-products manufacturer. Read the case study.

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