Golain compares live machine behaviour with how the asset should operate. When something begins to drift, your team sees the likely failure mechanism, the supporting signals and what to inspect next—not another unexplained alert.
WHY TEAMS TRUST IT
Golain combines operating history with the physical limits of the equipment. That helps separate a meaningful change from a signal that is merely unusual.
Every finding identifies the signals involved, the likely mechanism and the level of confidence. Your reliability team can review the reasoning before deciding what to do.
Findings are filtered and ranked so the team can focus on conditions that have a credible path to failure, rather than chasing every deviation.
HOW IT WORKS
Your team can inspect the evidence at every step and decide whether the finding should become maintenance work.
Golain connects to the signals already available—such as vibration, current, temperature, pressure and cycle counts.
The system learns normal operating patterns and applies the physical limits of the asset to establish what healthy behaviour looks like.
A change is promoted only when the evidence supports a plausible equipment problem, with the affected signals kept visible.
The team receives the likely mechanism, the contributing evidence, the confidence and the available time to act.
After review, the finding can become a work order. The completed inspection or repair is recorded so the next finding has better context.
PROOF
On an industrial bakery line, Golain surfaced the bearing-wear pattern two shifts before the expected failure window. The team reviewed the evidence and completed the repair during a planned changeover.
LET'S START TODAY
Bring the asset that costs the most when it fails. We will map the available signals and the first warning worth proving.