Predictive maintenance for manufacturers

Predictive maintenance for your whole plant — not just one machine.

Non-invasive wireless sensors watch the motors, gearboxes, compressors and pumps across your plant — and flag the failure weeks before it stops the line. One view of every critical machine, every minute. No rewiring, no shutdown.

Prefer to start small? Ask about a deployment on a handful of your most critical machines.

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

What customers see · illustrative
Plant health · illustrative
Line 2 drive motor
Vibration trending up
Watch
Plant air compressor
Within normal range
Healthy
Gearbox · press 4
Temperature steady
Healthy

In a plant, the one machine that fails is never the one you were watching.

The machine that picks its moment

Every plant has the asset that fails without warning between manual rounds — and takes the line with it.

A mixed fleet, scattered blind spots

Motors, gearboxes, compressors and pumps each fail differently; spot checks can't watch them all at once.

Line-down economics

One unplanned stop is emergency labour, expedited parts and lost throughput across everything downstream.

Two techs can't watch sixty machines

Maintenance is stretched thin and reactive, with no early signal telling the crew where to look first.

Plant-wide predictive maintenance in three steps.

1

Mount sensors on the machines that matter

Non-invasive, installed in minutes on motors, gearboxes, compressors and pumps — no shutdown, no rewiring.

2

AI watches the plant

Vibration, temperature, electrical load, runtime and energy, continuously, across every monitored asset from day one.

3

Get alerts, work orders & reports

The platform turns the data into action: early warnings, recommended work orders and plain-language reports — plant-wide and across sites.

From plant-floor signal to scheduled fix.

One view of every machine

Every critical asset and site in one place; the worst-trending machine surfaces first.

Weeks of early warning

Vibration, temperature and load trends flag bearing, gearbox and motor wear before failure.

Installed in minutes, non-invasive

Wireless mount, no line shutdown and no rewiring to get started.

AI agents don't just chart data — they recommend the fix and the work order.

Real, measured results · 2025

We watched a $31,200 failure happen — with 48 hours of warning on the screen.

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. This is what inaction costs.

$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
With alerts on, this is a sub-$200 lubrication job scheduled for the next maintenance window — not a $31,200 line-down event.

Read the full case study →

Background reading: what unplanned downtime really costs a manufacturer and predictive vs. preventive maintenance.

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 — no line shutdown and no rewiring.

Manufacturing predictive maintenance questions, answered.

How long does installation take across a plant?

Each device installs in minutes, non-invasively, with no infrastructure upgrade and no production stop. Most plants start with a handful of critical machines and expand from there. Our team can install it for you as a turnkey deployment, or you can self-install with a guided kit. A photo of each machine's nameplate is enough to get started.

Do I need to shut down a line to install it?

No. The wireless sensors are non-invasive and mount in minutes — there is no line shutdown and no rewiring to get started.

What kinds of plant equipment can it monitor?

Drive motors, gearboxes, compressors, pumps, fans and production equipment — the mixed fleet a manufacturing plant runs. Standard signals are vibration, temperature, AC current and load, power and energy, runtime and uptime, and the ambient environment. The device also accepts new sensors and custom parameters whenever a process needs them.

How is this different from a CMMS?

A CMMS tracks the work; IoT Octopus tells you what work is needed and when. It watches equipment health continuously and turns its findings into AI recommendations and drafted work orders your team approves. It works alongside an existing CMMS - nothing gets ripped out.

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. Deployments often start with a handful of critical assets. Monitoring and health verdicts begin on day one from a physics-based baseline; the baseline refines against each machine's real duty cycle over the first weeks, and by month three each asset has a learned profile, fleet benchmarking and monthly reports.

Book a demo.

See predictive maintenance running on your plant — across the motors, gearboxes, compressors and pumps that matter most. Installs in minutes, non-invasive, no shutdown.

  • 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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