Predictive Maintenance for Building Equipment
Fix it before it breaks. Premium value-add — transforms reactive maintenance into predictive, reducing downtime and costs.
What this solves.
Failure without warning.
Expensive equipment fails unannounced — the first sign is unplanned downtime mid-operations.
Servicing the wrong things.
Calendar maintenance services healthy gear while missing the one machine quietly degrading.
Downtime stops everything.
When a chiller, pump, or compressor goes down, everything dependent stops with it.
A few illustrative scenarios.
Early warning, no surprise.
An industrial site wants early warning instead of unplanned compressor failure mid-production.
Failure isn't an option.
A hospital or data center needs its chillers and AHUs watched continuously.
Fix only what's degrading.
A retail HQ moves from calendar servicing to fixing only what's actually degrading.
Among others — Predictive Maintenance fits any client with expensive equipment whose failure is costly to absorb.
Scope, bricks, and timeline.
Hover a Brick for its name, click to open the service. Mint = optional, scoped per project.
- Existing Infrastructure Assessment (sensors on monitored equipment, platform compatibility validation; if hardware is missing, scope is converted to Smart Metering / Process Monitoring + Predictive Maintenance combo)
- Equipment health baseline and degradation model
- Trend analysis on vibration, temperature, pressure, current draw
- Predictive alerts: estimated time-to-failure with confidence level
- Integration with client's CMMS or maintenance workflow
- Equipment health dashboard with historical trends
- Monthly predictive maintenance report with intervention recommendations
Frequently asked.
What equipment can you monitor?
Equipment with measurable health signals — HVAC chillers, compressors, pumps, boilers, AHUs — tracked via vibration, temperature, pressure, and current-draw trends against a degradation model.
Does VISE do the repairs?
No — VISE predicts; your team or a subcontractor repairs. You get alerts before failures, not after, with estimated time-to-failure and a confidence level, integrated into your CMMS or maintenance workflow.
Do I need sensors already in place?
It starts with an Existing Infrastructure Assessment. If sensors on the monitored equipment exist, the model builds on them; if not, the scope is combined with Smart Metering or Process Monitoring.
How long before it's useful?
Typically 6-10 weeks for baseline collection and model calibration. After that, you receive monthly predictive maintenance reports with intervention recommendations.
Build on it.
Ready to scope your Predictive Maintenance project?
Tell us your context — we'll come back with a tailored scope and quote in a few business days.