AI-Powered Intelligence for Predictive & Proactive Manufacturing
3Sixty AI transforms machine, production, maintenance, and operational data into predictive insights that help teams detect abnormal conditions, anticipate failures, investigate causes, and determine what action to consider next.
Detect · Predict · Diagnose · Recommend
Every Machine Tells a Story.
Temperature, pressure, vibration and cycle time are all narrating the same shift. Read individually they look fine. Read together, one of them is already telling you what is about to happen.
From Thousands of Signals to One Clear Insight
3Sixty AI collapses the noise of an entire plant into a single finding a person can act on — and shows the path it took to get there.
Data
Machine, production, maintenance and operational streams, continuously ingested.
3Sixty AI
Models learn normal behaviour per asset, recipe and shift.
Anomaly
Real condition change is separated from ordinary process noise.
Prediction
Failure probability, likely mode and remaining useful life.
Insights
One clear finding with the action it implies.
From Detection to Decision
Three moves, one continuous thread — each tab shows the same asset at the next stage of the decision.
See failure risks before they stop the line
Anomaly detection
Deviation from learned baselines, per asset and per regime.
Failure prediction
Probability and likely failure mode, ranked by impact.
Predictive maintenance
Intervention windows aligned to production plans.
Remaining useful life
Estimated life left, with confidence bands.
One View for Equipment Health and AI Insights
Asset health, failure probability, the anomaly behind it and the recommended action — in a single working view. Select an asset to see how the picture changes.
Move From “What Happened?” to “Why?”
The stop on the press started 41 minutes earlier, on a different asset. Select a contributing factor to follow the evidence.
Cycle time out of spec
PRESS-04 drifted 1.4 s slower than the line standard before stopping at 08:14.
Hydraulic degradation triggered by upstream utility instability
Power Disturbance: Voltage dip of 9% on the incoming feeder, 2.3 s duration, logged at substation 2.
Timestamped signals, alarms and work orders stay linked for audit and review.
AI Supports Decisions. People Stay in Control.
3Sixty AI carries the analysis as far as it can go, then hands the decision to the person accountable for it.
AI Detects
Condition change surfaces against the learned baseline.
Explains
Evidence, contributing factors and confidence are shown.
Recommends
A considered action, window and parts list is prepared.
Human Validates
An authorized engineer approves, defers or rejects.
Team Acts
Work is scheduled, executed and logged against the asset.
AI recommends. Authorized teams decide.
Every recommendation carries its evidence, its confidence and the name of the person who accepted or rejected it — so the audit trail is complete before the work order is raised.
What Changes When You Know Earlier?
The same team, the same assets — a different position in time.
Turn Industrial Data Into Intelligent Action
See 3Sixty AI running on a plant like yours — from the first anomaly to the validated maintenance decision.