Innovate-Ops
IoT Octopus
IoT Octopus
We prove IoT Octopus on real industrial assets — not lab demos. Our deployments run on the machines plants actually depend on, in real operating conditions. Below are honest, anonymized snapshots of how the platform is used, with real published results to follow as deployments mature.
These are representative deployments on real, critical equipment, written without naming customers. The scenarios reflect how the platform is actually applied; the outcome figures are illustrative targets, included to show the kind of value we measure. Real, published results will replace them as deployments mature.
IoT Octopus monitors critical sortation-line motors that run on tight shift windows. The platform builds a per-motor baseline and watches vibration and load trends, so a rising fault signature is flagged with lead time — before it can stall a sort and ripple through downstream throughput.
On a manufacturing line, IoT Octopus units track health, real runtime, and electrical load across several assets at once. Maintenance moves from fixed schedules and guesswork toward condition-based decisions, and managers get one operational view instead of scattered readings.
Across sites, the platform measures power and runtime at the equipment level, not just the meter. Idle draw and inefficient operation that were invisible at site level become visible per machine — turning energy into something teams can actually act on, and supporting cost and carbon goals.
Deployment snapshots are representative and anonymized. Outcome figures shown are illustrative targets, not measured customer results. We will publish real, attributed results once deployments conclude and customers approve.
The return comes from three places. The logic below is general and applies to most industrial assets; the example numbers are illustrative placeholders to show how the math works on your equipment, not claimed results.
Unplanned downtime is the most expensive failure mode: lost output, idle crews, rush parts and overtime. Catching a fault early turns an emergency stop into planned, off-shift service.
Measuring power per asset exposes idle draw and inefficient operation that a site-level meter hides. Small percentage savings on always-on equipment compound across the year and across sites.
Condition-based service replaces fixed calendars and guesswork. You service what actually needs it, when it needs it — fewer needless interventions, fewer missed real ones, better parts and crew planning.
We will work the value math with you on your own assets, hours, and rates during a deployment — so the business case is grounded in your numbers, not ours.
Put IoT Octopus on your most critical asset and see real signals from your own equipment. Deployments are scoped to be low-risk and fast to stand up — proof on your own equipment, on a platform that's already built and running in industry.
Plug-and-play units go on legacy or modern machines in minutes — no infrastructure upgrade or production stoppage.
Nameplate physics give a baseline immediately; the picture sharpens as your machine builds its own history.
Per-customer data isolation on Google Cloud. Your equipment data stays yours and is never used to train shared models.
Book a 20-minute demo or deploy on your most critical asset.