ForgePulse

Maintenance Insights

Maintenance Insight Hub

Maintenance Insight Hub aggregates vibration spectra, bearing temperatures, motor current signatures and runtime hours, then ranks assets by an explainable score: which one to look at next, why, and what changed in the last week. Reliability teams use it as a triage layer ahead of their CMMS, not as a replacement for it.

6-10 weeks Cloud module + sensor kit ₩11,800,000 / year
Maintenance Insight Hub operations workspace preview

Features

Asset health score with feature attribution

Vibration spectrum view with selectable bands

Runtime-based service-interval reminders

Outlier flagging tuned per asset class

Webhook export to your CMMS for work-order creation

Responsible

Yoon Da-eun, Maintenance Insight Hub responsible lead

Yoon Da-eun

Customer Success Lead with prior reliability experience at industrial equipment producers.

Outcomes

  1. 1 Maintenance focus moves from calendar-based to condition-based on critical assets
  2. 2 Spare-parts conversations become evidence-led instead of opinion-led
  3. 3 False alarms drop after the second tuning cycle

FAQ

A health score appears from week one, but it is rough. Useful, trustable predictions need eight to twelve weeks of clean data per asset class, and we are explicit about that with the maintenance team.

Reviews

“Useful triage layer. We still rely on our reliability engineer to decide what to do, and that is the right balance.”

Hee-jin

“The feature attribution view is what made the maintenance team trust the score. Without it, the score was just a number.”

Client in automotive parts · survey

“We turned off two of the default rules in week three; once that was tuned, the false-alarm rate became reasonable.”

Reliability engineer

“Worth the implementation effort. Plan for the sensor kit installation realistically.”

Sang-woo — Maintenance manager