A connected path from raw data to maintenance action.
MominIQ keeps asset data, risk scoring, alerts, and recommended actions in one clear workflow.
Data In
Asset readings, work history, and operating context arrive together.
Intelligence Layer
MominIQ normalizes the data and applies asset-specific AI models.
Risk Score
Each asset receives a current health score and failure window.
Alert
The platform ranks the issue by severity and operational impact.
Action
Teams get the recommended next step before downtime happens.
Asset Previews
Different equipment, the same decision rhythm.
Each asset type gets a concise health view with the score, alert, and next practical action.
92
Health score
Pumps
Bearing vibration rising
Inspect in 3 days
84
Health score
Motors
Thermal drift detected
Check load profile
76
Health score
Chillers
Efficiency drop
Review condenser trend
Inputs
The intelligence layer starts with the systems you already use.
The page stays simple because the workflow does the organizing: connect the source, preserve context, then show the asset risk.
Time-series
Vibration, temperature, pressure, flow, and runtime signals.
CMMS
Work orders, maintenance history, parts, and failure codes.
Historian
Process history and operating patterns from plant systems.
Decision Snapshot
The output is not another report. It is a prioritized action.
Maintenance teams can see the asset, the signal, the risk, and the recommendation without stitching together separate screens.
Recommended action
Inspect pump bearing
Risk
High
Window
3 days
Confidence
92%