Is predictive maintenance actually worth it for cleaning companies?

Yes — when it's built around your real workflow, not a generic template. Unplanned downtime down 71% for an industrial client.

How long does predictive maintenance take to implement?

A working pilot inside weeks, not months. We ship early, measure honestly, and scale only what proves itself.

What tools do you use for predictive maintenance?

We build with the right tool for your team — most often: AWS IoT, Custom ML, Slack alerts, Grafana. We're tool-agnostic and results-obsessed.

Predictive maintenance for cleaning companies.

Catch the failure before it happens. Sensor-driven monitoring and ML-powered alerts for equipment, vehicles, and infrastructure — so you fix things at 2pm Tuesday, not 3am Friday.

NZ-built Pilot in weeks, not months We stay through adoption

Real result

Unplanned downtime down 71% for an industrial client.

Why cleaning companies specifically

✕ rosters changing five times a week
✕ clients underpaying invoices for "missed spots"
✕ no clear record of what was actually done

The cleaner reality

What we keep hearing from NZ cleaning companies.

Hospitality + commercial cleaning is high-churn. Service evidence (photos, checklists) is your protection.

What we build

Predictive maintenance, tailored to cleaning companies.

◆ IoT sensor deployment and data pipeline
◆ Anomaly detection trained on your equipment history
◆ Alerts routed to whoever can actually fix it
◆ Reduction in unplanned downtime, measured monthly

Built on: AWS IoTCustom MLSlack alertsGrafana

Predictive maintenance for other NZ industries

Other things we build for cleaning companies

Ready to talk specifics?

Scroll up — the form's right there.