Product · AIOT Machine Health
Hear the breakdown before it happens.
Machines fail with warning — subtle shifts in vibration, heat and draw. AIOT Machine Health listens continuously and tells you what to fix, and when, before an unplanned stop.
The Problem
The cost of finding out too late
Unplanned downtime is the most expensive maintenance strategy.
Run-to-failure
Equipment is fixed after it breaks, when the damage and the disruption are already done.
Blind scheduled maintenance
Calendar-based servicing wastes good parts and still misses the failures in between.
Unused sensor data
Machines emit rich telemetry that never becomes an actionable decision.
Our Approach
From raw telemetry to a maintenance decision
Sensors to signals to action.
Edge + cloud ingestion
Capture vibration, thermal and current data from new or existing sensors.
Anomaly & degradation models
Learn each asset’s healthy baseline and detect drift long before failure thresholds.
Pre-emptive work orders
Translate a predicted failure into a prioritised, scheduled maintenance action.
The Goal
Shift from run-to-failure and blind schedules to condition-based, pre-emptive maintenance — cutting unplanned downtime and extending asset life.
The InnoFissionAI Advantage
A shift in how the work gets done.
Detection
Continuous Condition Monitoring
Today
Periodic manual inspection rounds.
InnoFissionAI
Always-on monitoring that scores the health of every asset in real time.
Prediction
Remaining-Useful-Life Estimates
Today
Guesswork on when a part will go.
InnoFissionAI
Data-driven RUL estimates that prioritise the interventions that matter.
Action
Pre-emptive Breakdown Signals
Today
Alarms fire only once a machine has already tripped.
InnoFissionAI
Early warnings raised days ahead, with the recommended fix attached.
Ready to build?
Let's put a number on your downtime.
Share your critical assets and failure history — we will show where pre-emptive signals would pay back first.