Predictive Power for Asset Management

Transform technical data into actionable insights, minimise downtime and optimise capital.

Core Features

The world's most advanced predictive asset management tool currently deployed in optimising over 1000 sites and millions of assets covering 6,000,000 m² in floor area.

Self-learning Algorithms

Algorithms that grow smarter with every deployment, continuously improving predictions.

Harnesses machine learning to refine asset lifecycle predictions with each data point.

Deterioration Prediction

Precise lifecycle forecasting based on historical data and environmental factors.

Forecast asset condition with high accuracy based on tailored degradation curves.

Real-time Validation

Instant verification of inspection data ensuring accuracy and reliability.

Eliminates data entry errors with automated cross-checking and anomaly detection.

Budget Calculation

Tools for estimating maintenance costs and managing maintenance backlogs.

Projects future expenditure needs with scenario modeling for optimal budget allocation.

Risk Management

Comprehensive dashboards with alerts for proactive risk mitigation.

Identifies potential failures before they occur with customizable alert thresholds.

Bespoke Solutions

Tailored forecasting and risk models for specific asset types and conditions.

Customised analysis for hundreds of asset classes from HVAC to structural components

Key Benefits

Transforming asset management across industries

Reduced Downtime & Inspection Costs

Achieve up to 50% faster inspections with our mobile app and automated data capture. Significantly reduce unplanned failures through predictive maintenance alerts.

"Inspection time reduced by a third. Component count increased three-fold." - RMIT Property Services
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Optimised Capital & ROI

Improve ROI by up to 20% with data-driven capital allocation. Our predictive models help prioritize investments where they'll deliver maximum value.

"Cleanest, most reliable data we have ever received, in the exact format we wanted and on time." - Kingston City Council
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Proactive Preventative Maintenance

Reduce risk costs by up to 10% with predictive alerts that identify potential failures before they occur. Transition from reactive to proactive maintenance.

"…an eye opener at City of Melbourne and helped us reach a depth we have never been able to reach before." - City of Melbourne
Discover Risk Management Features

Data-Driven Intelligence

The CAMS engine ingests inspection records and continuously updates to reflect asset usage, generating highly accurate decay curves perpetually. Our machine learning models analyse patterns across thousands of assets to deliver increasingly accurate predictions.

Asset managers gain unprecedented visibility through intuitive heat maps, condition distribution charts, and predictive forecasts that guide maintenance and capital decisions.

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The Process

A comprehensive workflow for asset optimization

Industry Partners

Macdonald Consultancy

Macdonald Consultancy was established in 2017 to bring robust, research-based consultancy support to the facilities management (FM) and asset management sectors. Key facets of Macdonald Consultancy's service delivery model include: a multi-disciplinary team of directly employed consultants, subject matter expertise and thought leadership in facilities and asset management and, an innovation partnership with RMIT.

Macdonald Consultancy's goal is to assist organisations in driving down costs and to improve the quality of their non-core business operations.

Together, CAMS and Macdonald Consultancy have worked to develop robust mechanisms for:

  • Expansive Asset Audits and Condition Surveys
  • Precision Life Cycle Modelling
  • Powerful Asset Management Reviews

Ready to future-proof your assets?

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