One problem, many settings
A cooling pump in a data center, a conveyor motor in a plant and a transformer in a substation have little in common as machines. As monitoring problems they are closely related. Each produces physical signals while it works. Each degrades gradually before it fails. Each is one of many similar assets that no one has time to inspect closely.
That shared structure is why a single sensing and intelligence platform can serve very different industries. What changes from one setting to the next is the equipment, the environment and the consequence of failure. The underlying approach is constant: observe continuously, learn what normal looks like and recognize change early.