Unplanned downtime is expensive. With IoT + edge + AI you can warn of a machine failure days ahead.
On a production line the costliest thing is unplanned downtime. Predictive maintenance aims to see it before it lands.
How it works
We place vibration and temperature sensors on rotating equipment; data is processed on the edge, and when anomalies appear, failure is predicted days ahead.
As a business model
We fold the hardware into a monthly fee; the "big investment" barrier disappears and one prevented stop more than pays for the subscription.
Why it can't be copied
It sits at the intersection of IoT, automation and AI; few teams can do all three.