How do you measure energy use per machine?
A non-invasive wireless sensor reads each asset's electrical load and power over time, so you see consumption machine by machine instead of one plant-level number. There is no rewiring and no shutdown to install, and monitoring starts the same day.
Can it actually cut our cost and carbon?
It shows where energy goes asset by asset — idle running, off-shift draw and machines drifting above their benchmark — so you can act on the biggest waste first. Cutting wasted electricity cuts both the bill and the carbon that comes with it, and you can prove where the reduction came from.
How does rising energy use relate to a machine failing?
A machine pulling more load or power than its baseline is often a machine starting to fail — added friction, wear or imbalance shows up as extra draw. The same per-machine data that finds energy waste also gives early warning of a developing fault.
How long does it take to install?
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.
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. Many teams start by metering a handful of high-draw or critical machines, prove the value, then expand across more lines and sites. There is no minimum to begin.