A machine loses its rhythm before it loses a part.
Healthy rotating equipment vibrates in a consistent pattern — its hum holds together. We call that coherence. As a bearing begins to fail, that coherence frays first: the vibration grows subtly less self-consistent while amplitude still reads inside spec. Snapmatics measures the fraying, not the alarm that follows.
Because it reads the structure of the vibration rather than a fixed limit, it works both directions — catching a machine sliding toward failure and confirming one running healthy after a repair. Either way, the turn is visible early.
Run against every bearing in a public failure dataset, it caught all of them — early.
One framework. The machine instrument it becomes.
Industrial Machinery isn’t a separate product — it’s Snapmatics, pointed at the machine. The same four layers take a specific form here.
Reads the vibration’s coherence
Takes the raw vibration signal and computes how well the machine is holding its own pattern, cycle to cycle.
Identifies what’s going
Localizes which component is losing coherence, so maintenance knows where to look — not just that something is wrong.
Keeps alerts trustworthy
Governs the call so a flag earns a work order — holding it until the signal clears the bar, which is how false alarms stay at zero.
Explains what’s failing
Where licensed, EVE states what changed and when, so a technician reads a sentence, not a spectrogram.
Bring us your hardest signal. We’ll show you its tell.
OEMs, plants, and reliability teams: see the early read on your own sensor data under NDA.