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AI-FIRST MAINTENANCE PLATFORM
04Solutions / Predictive Maintenance

Predictive Maintenance

Avertis identifies equipment failure before it happens, combining sensor and maintenance data into clear, explainable predictions, paired with the fault-finding knowledge your engineers capture on every job.

Capability 01

Failure Detection

Spot abnormal behaviour and deterioration before a breakdown occurs, with clear, explainable predictions.

Condition monitoring and anomaly detection combine with degradation and trend analysis to model failure probability, validated with confidence indicators you can check.

What it unlocks
  • Explainable, confidence-scored predictions
  • Condition monitoring and anomaly detection
  • Model validation, not a black box
Capability 02

Asset Health Scoring

Translate sensor and maintenance data into a clear, comparable view of asset health.

Health scores combine live condition data with engineering knowledge, so deterioration is visible across the fleet before it becomes downtime.

What it unlocks
  • Health scores paired with engineer expertise
  • Fleet-wide comparability
  • Predictive outputs connected to work-order creation
Capability 03

Anomaly & Trend Detection

Separate meaningful change from noise across historical and live condition trends.

Degradation and trend analysis, combined with failure probability modelling, help engineers investigate the events that actually matter, not every fluctuation.

What it unlocks
  • Historical trend analysis
  • Failure-pattern identification
  • Focused investigation, less noise
Capability 04

Remaining Useful Life

Estimate how long an asset can keep running before intervention becomes necessary.

RUL estimates align maintenance-window planning with recommendations informed by the fault-finding expertise your engineers have already captured.

What it unlocks
  • RUL estimates tied to real engineer expertise
  • Risk-based maintenance prioritisation
  • Maintenance-window alignment
Capability 05

AI Data Diagnostics

Interpret condition data with the context of history, manuals and prior failures.

Early-warning alerts come with recommendations informed by captured engineer expertise, not just raw sensor thresholds.

What it unlocks
  • Condition data read in context
  • Relevant failure history surfaced automatically
  • Suggested checks and next actions
See It In Action

Desktop & Mobile Experience

Turn predictive signals into clear maintenance actions across desktop and mobile, from health scores and remaining useful life to AI guidance and work-order creation.

Pump Demo · PDM Analysis
High priority Recommended action
39Health Score
10dEst. RUL
6.260Latest RMS
1215.5Latest RPM
AI Guidance

Pump Demo is showing signs of accelerating degradation with a health score significantly below optimal levels and an estimated remaining useful life of approximately 10 days.

9:41📶 📡 🔋
Pump Demo
PDM Analysis · 90d
39%HEALTH
10dRUL
6.260RMS
High priority Plan intervention in the next maintenance window. Estimated RUL is around 10 days.
Asset health & RUL

See health score, remaining useful life and live condition metrics in one view.

Early-warning priority

Understand risk, confidence issues and the recommended maintenance window.

Explainable AI guidance

Convert trends and warnings into clear actions engineers and planners can trust.

Prediction to work order

Create and assign maintenance directly from the predictive insight workflow.

Get Started

See Predictive Maintenance running on your own assets.

Book a walkthrough and we will show this area working against your real data.

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