Analytics and Fault Detection

Detect faults before residents complain

9 automated detection rules watch your buildings around the clock. Daily site reports summarise what needs attention. Severity classification helps you prioritise.

Request a Demo Explore the Enterprise Demo

What Analytics and Fault Detection does

MeterLens analyses telemetry from across your portfolio using 9 automated detection rules. Faults are classified by severity and linked to the affected building, level, and unit. Daily site reports give you a morning summary of what happened overnight and what needs action today.

Key capabilities

9 automated detection rules

From Heat Interface Unit (HIU) blockages to insulation degradation, detection rules watch your buildings around the clock and flag problems before residents complain.

Daily site reports

AI-powered summaries of building performance, viewable in the platform. Know what needs attention before you start your day.

Anomaly detection

Statistical analysis identifies readings that fall outside normal patterns. The system distinguishes genuine faults from seasonal variation.

Proactive alerts

Alerts are generated automatically when detection rules trigger. Each alert includes severity, affected units, and a recommended next step.

Severity classification

Alerts are classified by severity so you can prioritise. Critical issues surface immediately; lower-severity patterns are tracked over time.

Trend analysis

View performance trends across days, weeks, and months. Identify gradual degradation before it becomes a fault.

Who benefits

Operations Directors

Start your morning with a summary of which buildings need attention. Prioritise callouts by severity, not by who complained loudest.

Facilities Managers

Move from reactive to proactive. Automated rules flag issues before they escalate to resident complaints.

Energy Consultants

Use trend analysis and anomaly detection to identify systemic issues across a portfolio, not just individual faults.