Innovate-Ops

IoT Octopus

Call us Book a Demo
AI maintenance agents

AI agents that run maintenance — from first signal to verified fix.

IoT Octopus doesn't just flag a problem and hand it back to your team. A chain of AI agents finds the root cause, schedules the work, lines up the parts, dispatches the right technician, and verifies the repair held — so you get less downtime and lower cost without adding headcount. Ask Octopus about any asset in plain language and get an answer grounded in its full history.

Book a Demo Call us · (226) 243-0172

Prefer to start small? Ask about a deployment on a handful of critical assets.

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

What customers see · illustrative
Agent activity · illustrative
Root-cause analysis complete
Work order drafted Done
Work scheduled
Parts reserved Scheduled
Technician dispatched
Repair verified Verified

An alert is only the start of the work.

Alerts that stop at the alert

A dashboard that pings then waits is one more inbox. The real work — diagnosis, scheduling, parts, dispatch — still lands on your team.

Diagnosis lives in a few heads

Why a machine failed, and what to check next, walks out the door at shift change and retirement.

Coordination eats the day

Matching fault to window to parts to the right technician is hours of back-and-forth before a wrench ever turns.

No headcount to add

Reliability targets keep rising while the team stays the same size — so something has to give.

How the agents run maintenance for you.

1

Sense the asset continuously

Non-invasive wireless sensors mount in minutes — no shutdown, no rewiring — and watch the machine from day one.

2

Let the agent chain run the response

From root cause to verified repair, the agents do the legwork and your team approves the calls.

3

Ask Octopus anything

Plain-language answers about any asset, grounded in its full monitored history.

One chain, from first signal to verified fix.

Each agent does a job a person used to chase down. Your team stays in control and approves the calls — the agents do the legwork.

Root-Cause Analysis

Reads the asset's signals and history to pinpoint what is actually going wrong and why.

Scheduler

Places the repair in the right maintenance window so the fix lands before failure without interrupting production.

Logistics / Parts

Confirms the parts the job needs are on hand or reserved, so the technician isn't blocked at the machine.

Dispatcher

Routes the work to the right technician with the diagnosis and plan attached.

Verification

Confirms the asset is back to a healthy baseline after the repair — and closes the loop if not.

Ask Octopus: ask about any asset in plain language and get an answer grounded in its full monitored history.
Real, measured results · 2025

The same chain that runs maintenance saw a $31,200 failure 48 hours out.

In a 2025 deployment at an Ontario building-products manufacturer, IoT Octopus identified a developing drive-motor bearing failure two full days before it seized — the kind of finding the chain turns into a sub-$200 lubrication job scheduled for the next window, instead of a $31,200 line-down event.

$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 the agent chain 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: predictive vs preventive maintenance, explained.

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.

Your team stays in control

Agents do the legwork and recommend the next step; your people approve the calls.

AI maintenance agents, answered.

Does the AI act on its own, or does my team stay in control?

Your team stays in control. The agents do the legwork — finding the root cause, drafting the schedule, checking parts and routing the work — but your people approve the calls before anything happens on the floor. Nothing is dispatched or changed without a person signing off.

What does "agents that run maintenance" actually mean?

It means the work between the alert and the fix gets done for you. Instead of a dashboard that flags a problem and hands it back, a chain of agents pinpoints the root cause, places the repair in the right window, confirms the parts are on hand, routes it to the right technician, and verifies the asset is healthy again afterward.

What is Ask Octopus?

Ask Octopus lets anyone ask about any asset in plain language and get an answer grounded in that machine's full monitored history. There is no dashboard to learn — you ask what is going on with a pump or a line, and you get a clear answer.

Will this replace my maintenance team or my CMMS?

No. The agents handle the legwork and recommend the next step; your team makes the decisions and does the hands-on work. The platform works alongside an existing CMMS — it tells you what work is needed and when, and nothing gets ripped out.

How does it diagnose a problem without exposing how it works?

You get the verdict and the recommended action in plain language — what is wrong, how urgent it is, and the work order to fix it. The analysis runs on continuous signals from the asset; what reaches your team is the outcome, not the internals.

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?

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

How the AI works The full platform Take the product tour

See the agent chain on your equipment.

Book a demo and watch root cause, scheduling, parts, dispatch and verification run end to end on a real asset — plus Ask Octopus answering from its history.

  • 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.

We never sell or share your details. See our privacy policy.

Prefer email? email us directly.

Book a Demo