Asset Engine

Flagged before it fails, not after

End-of-life is predicted from how a device is actually behaving - not a fixed replacement calendar. A machine under heavy load ages faster than one that mostly idles, and the prediction reflects that.

The signals

What feeds the prediction

Three streams of signal combine into a replacement window with the reasoning attached, so a flag is never a black box.

Usage patterns

How hard and how often a device is worked - a heavily loaded machine wears faster.

Performance degradation

Slowdowns, errors, and drifting health readings that build up over time.

Age and lifecycle stage

Where the device sits against realistic service life for its class of hardware.

On accuracy and coverage, honestly. Prediction is strongest for laptops, desktops, and workstations, where usage and health signals are richest. Coverage widens as more signal accrues for a device class, and every prediction is shown as a window with its reasoning - never a false-precise date.

A window, not a guess

Replacement is expressed as a range you can plan procurement around.

Reasoning attached

Each flag shows which signals moved it, so you can trust or challenge it.

Ahead of the failure

The point is lead time - acting before a device stops someone's work.

Get ahead of the next failure

See which devices in your own fleet are trending toward end-of-life, with a replacement window for each.