Innovate-Ops

IoT Octopus

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Downtime & OEE

Real uptime, not assumptions — downtime you can see coming.

Most unplanned stops were trending for days before they happened. IoT Octopus watches vibration, temperature, motor load and runtime continuously, flags the failure early, and turns it into a scheduled fix — so the line keeps running and your OEE reflects real availability, not guesswork.

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Prefer to start small? Ask about monitoring just your bottleneck assets first.

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

What customers see · illustrative
Line availability · illustrative
Bottleneck conveyor
Stop predicted — act before next shift Watch
Packaging line OEE
Availability 92% steady Healthy
Drive motor #3
Within normal range Healthy

Unplanned downtime is the stop you didn't see coming.

Unplanned stops you didn't see coming

A machine seizes mid-shift and the whole line waits. The warning signs were there for days — nothing was watching for them.

OEE numbers you can't trust

Availability gets logged by hand, after the fact. The number on the report doesn't match what really happened on the floor.

The bottleneck asset runs blind

The one machine that gates your throughput is the one you can least afford to lose — and often the one with the least visibility.

Emergency mode is the expensive mode

A stop you react to costs lost production, rush parts and overtime. The same fix scheduled ahead of time costs a fraction.

From early warning to a scheduled fix.

1

Monitor the assets that gate throughput

Non-invasive wireless sensors mount on your bottleneck and critical machines in minutes — no rewiring, no shutdown — and start reading the signals right away.

2

AI catches the stop before it happens

It learns each machine's normal behaviour and flags the developing fault — vibration, heat, load or runtime drifting toward a failure — days early.

3

Turn the warning into a scheduled fix

The early warning becomes a work order and a planned repair in the right maintenance window, so the line keeps running and the stop never happens.

What you get when downtime is something you see coming.

Fewer unplanned stops

Catch the failure days early and schedule the fix, so the line-down event that would have cost a shift simply doesn't happen.

OEE you can defend

Machine-level availability data, measured continuously — so your OEE reflects what actually ran, not a hand-logged estimate.

Bottleneck first

Start with the assets that gate throughput and protect the uptime that matters most, then expand across more lines and sites.

Turn the stop you react to into the fix you schedule — and an OEE number your team can stand behind.

Real, measured results · 2025

We watched a $31,200 stop coming — 48 hours out.

Most line-down events give you warning, if something is watching. In a 2025 deployment at an Ontario building-products manufacturer, IoT Octopus saw a drive-motor bearing failure coming with 48 hours of warning on the screen — a $31,200 line-down event the warning reduced to a sub-$200 lubrication job scheduled for the next maintenance window.

$31,200 CADCost of the stop: $27,000 lost production + $4,200 repairs
48 hoursOf warning before the line would have gone down
Under $200 CADThe scheduled 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. That is downtime you can see coming, instead of an emergency you react to.

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.

Works with your CMMS

The early warning becomes a work order in your existing maintenance workflow — the fix lands before the failure does.

Downtime and OEE, answered.

How does it reduce unplanned downtime?

Most unplanned stops are trending for days before they happen. IoT Octopus watches vibration, temperature, motor load and runtime continuously, flags the developing fault early, and turns it into a scheduled fix — so the stop lands in a planned maintenance window instead of in the middle of a shift.

How does it improve OEE?

OEE depends on availability, and availability depends on uptime you can count on. By catching failures before they stop the line and scheduling the fix, IoT Octopus lifts real availability — and gives you machine-level data so your OEE reflects what actually happened, not an estimate.

Can we start with just our bottleneck asset?

Yes. Many teams start by monitoring the few assets that gate throughput — the bottleneck line or a critical machine — prove the value there, then expand across more lines and sites. There is no minimum to begin.

How long does it take to install, and do we need to shut down?

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.

Does it work with our CMMS?

Yes. IoT Octopus is built to fit your existing maintenance workflow — the early warning becomes a work order and a scheduled fix, so the right job lands in your CMMS before the failure does.

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.

Want the whole picture?

Downtime and OEE are one part of the platform. Explore how IoT Octopus turns machine data into action across every asset and site.

The full platform Customer results See the product

Book a demo.

See unplanned downtime caught early on your own equipment — vibration, temperature, motor load and runtime, turned into scheduled fixes.

  • 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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