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Predictive maintenance for buildings

Find the failure trendbefore the failure.

Merlin watches the slow signals behind equipment health, explains which assets are drifting, and helps move work from emergency response into planned maintenance windows.

From corrective to preventive

Equipment rarely fails without a signal. The signal is simply easy to miss.

Vibration creeps upward. Current draw drifts from baseline. Runtime passes a maintenance threshold. A variable-frequency drive resets repeatedly. Each event may look small in isolation, especially across a large building portfolio.

Merlin's predictive-maintenance agent watches those trajectories continuously. It combines live device data with operating context and work-order history, then surfaces a ranked maintenance decision while there is still time to plan the response.

How the workflow operates

From live signal to verified outcome.

01

Detect the trajectory

The agent monitors slow-moving patterns across every connected asset instead of waiting for a threshold alarm or occupant complaint.

02

Explain and prioritize

Merlin presents the source signals, trend, confidence, operational consequence, and proposed next step in plain language.

03

Plan and verify

Teams can approve an inspection or work order for the next suitable window. Completion and follow-up readings close the reasoning trail.

Signals Merlin can reason over

  • Equipment vibration and current drift
  • Runtime and maintenance thresholds
  • Repeated equipment and VFD faults
  • Building-management setpoints
  • Work orders and completion history

Control stays explicit

  • Per-agent autonomy levels, from propose-only to approved low-risk actions
  • Confidence floors that prevent automatic action below your threshold
  • Quiet hours, excluded zones, and site-specific maintenance playbooks
  • Human approval for critical equipment and irreversible actions
Merlin predictive maintenance view showing equipment health, time-to-failure trends, and planned work

Operational outcomes

Improve the decision path, then measure the result.

Earlier warning

Surface developing equipment risk while a planned intervention is still possible.

Better work prioritization

Rank maintenance by evidence and operational consequence, not only by age or schedule.

Less reactive coordination

Give technicians a specific asset, supporting trend, and recommended inspection scope.

Auditable maintenance

Retain the signals, decision, approval, work record, and verified outcome together.

Continue exploring

The platform behind this workflow

Start with the assets that create the most operational risk.

Show us the equipment, signals, and maintenance workflow you already have. We will map where Merlin can add earlier warning and a clearer path to action.