IoT Octopus
Behind the portal works a fleet of focused AI agents. They don't just show you charts — they tell you what's wrong, who to send, what to order, and how the plant is really running. This is how we make industrial equipment think for itself.
Each agent handles one part of keeping your equipment running. Together they take you from a signal on a machine to a decision your team can act on — in plain language.
Watches every monitored asset and explains, in plain language, what's going wrong and what to do about it.
Turns a recommendation into a plan — matching the right person to the right machine at the right time.
IoT Octopus works alongside your existing CMMS — alerts arrive as drafted work orders your team approves. Nothing gets ripped out.
Works out what a repair needs and prepares the parts and orders ahead of time — so the fix isn't waiting on a shelf.
Pulls together everything that happened across your equipment and writes it up for the people who don't have time to dig.
Looks across your whole site and fleet — not one machine at a time — to surface patterns a single asset can't show on its own.
A health verdict can hand off to dispatch, which can ask the Parts Assistant to prepare what's needed — each step visible to your team, none of it acting without your say-so.
It starts working on day one: a photo of the nameplate gives the platform a physics-based baseline immediately — then the Equipment Passport grows with every hour, fix and decision, and the recommendations only get sharper.
It starts with physics, then learns — a nameplate-based baseline on day one, refined into this exact machine's own "normal". No waiting for failure history.
Alerts, actions, and repairs are remembered — context that informs the next decision.
More history means earlier warnings and more confident, more specific advice.
We start by making machines visible, then advise, then help operations act — always with your team in control of every step.
Real-time equipment health, energy visibility, and AI recommendations — what to fix, when, and why.
AI agents schedule the work, stage the parts and write the reports — with your approval in the loop.
The fleet coordinates maintenance, dispatch and reporting end to end — with people approving the calls that matter.
The agents are built to assist your people, not replace their judgment — with clear limits on what they can do and strong protection for your data.
Agents prepare options and advice. Your team approves the actions that matter, including any order or spend.
Each customer's equipment data is kept isolated. Your machines' history powers your recommendations — and only yours.
The platform runs on Google Cloud's secure, enterprise-grade infrastructure, with your data hosted in your chosen region.
Your operational data is used to serve you. We do not use it to train general-purpose AI models.
You confirm or dismiss every alert — and the platform learns from your corrections. The AI drafts work orders and purchase requests; your team approves them. It never spends money or dispatches anyone on its own.
Book a 20-minute demo or deploy on your most critical asset.
