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Facility & Assets Built and ready

CMMS Platform

Computerised Maintenance Management for asset-intensive operations: work orders, PM scheduling, spare parts, failure analysis and maintenance KPIs in one operational platform.

Asset register Work orders PM scheduling Spare parts Failure codes AI-native
CMMS Platform preview

Dashboard preview

Asset-intensive
Manufacturing to utilities
Web + mobile
Technician field app
ERP + IoT
Native integrations
Full features, screenshots and pricing live on the product site.
What it is

Built for maintenance teams that keep critical assets running

A single maintenance system of record, from work-order intake through failure analysis and cost roll-up. Fast mobile workflow for technicians, clean PM scheduling and parts availability for planners, and the failure data reliability engineers need to move from reactive firefighting to planned, risk-driven maintenance.

Highlights

What the platform does

A snapshot of the core modules. The full walkthrough, screenshots and pricing live on the product site.

Asset register
Parent-child equipment hierarchy with location, criticality, warranty and full maintenance history.
Work-order lifecycle
Reactive, corrective and preventive work with a mobile technician workflow and labour and parts capture.
PM scheduling
Time, meter and condition-based triggers so preventive work generates automatically against usage and calendar.
Spare parts and inventory
Stock levels, reorder points, issue-to-work-order tracking and multi-store management.
Failure codes and RCA
Problem, cause and remedy coding that builds a defect history to drive reliability improvement.
Permit-to-work and safety
Isolation, LOTO and safe-system-of-work controls tied directly to the work order.
Meter and condition monitoring
Readings feed usage-based PM triggers and early-warning thresholds for at-risk assets.
Maintenance KPIs
PM compliance, backlog, MTBF, MTTR, wrench time and maintenance cost per asset at a glance.
AI built in

Maintenance that shifts from calendar-driven to risk-driven

AI is embedded through the workflow, turning asset history and equipment telemetry into fewer failures, faster dispatch and problems caught before they cause downtime.

Predictive maintenance
Failure prediction from asset history and sensor or meter data, so PM shifts from calendar-driven to risk-driven.
AI work-order triage
Requests auto-classified, prioritised by asset criticality and impact, and routed to the right team.
Telemetry anomaly detection
Continuous monitoring of meter and sensor streams flags abnormal patterns and raises condition-based work orders automatically.

Want a closer look?

I will walk you through the platform against your own scenarios, from day-to-day operations to the integration layer, and answer whatever your team needs to know.

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