Research-Driven Predictive Maintenance

The future of mining maintenance is here

IMMEE develops predictive maintenance technology for large mining equipment using machine learning models that analyse operational sensor data together with laboratory oil analysis results.

The platform has been developed through ongoing research and development work in collaboration with Cranfield University in the United Kingdom and is currently deployed in operational mining environments where it monitors heavy equipment units within active fleets.

AI-Powered Predictive maintenance
Patent Pending Innovative technology
24/7 Real-time monitoring
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Research & Innovation

Developed with world-leading researchers

IMMEE's predictive maintenance technology has been developed in collaboration with researchers from Cranfield University and combines oil analysis, equipment sensor data, and machine learning models to detect early signs of component degradation in large earth-moving equipment.

Initial deployments focused on CAT 994 loader fleets used during the early development and validation phase. The technology has since expanded to additional equipment categories, including haul trucks, and continues to evolve as part of IMMEE's ongoing predictive maintenance research program.

Cranfield University United Kingdom

One of the UK's leading applied science and technology universities, internationally recognised for aerospace, defence, and industrial research.

R&D Collaboration Partner
Our Capabilities

The most advanced oversight to maximize mechanical availability

Our AI-driven platform combines oil sample analysis, machine sensor connectivity, and executive dashboards to deliver predictive maintenance that increases equipment lifespan across your entire operation.

Advanced Equipment Monitoring

The most sophisticated way to oversee your fleet, using high-fidelity data to ensure peak performance and reliability.

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Real-Time Analysis

Monitor your equipment 24/7 with intuitive dashboards and intelligent alerts that keep you informed.

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Operational Optimization

Ensure maximum availability and peak performance across your fleet with our advanced monitoring capabilities.

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Risk Reduction

Protect your team by identifying risky conditions before they become incidents.

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How It Works

From raw data to maintenance decisions

Our platform fuses multiple data sources through patent-pending machine learning models to deliver precise, actionable predictions before failures occur.

Equipment Sensors Temperature · Vibration · Pressure
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Oil Sample Analysis Lab results · Wear particles · Contamination
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Historical Operational Data Maintenance records · Usage patterns
Multimodal Machine Learning Models Patent-pending AI · Developed with Cranfield University
Failure Prediction Early-stage degradation alerts
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Maintenance Recommendations Prioritised, cost-optimised interventions
Applications

Built for heavy mining equipment

IMMEE predictive maintenance technology is designed for the largest and most demanding equipment categories in the mining industry.

Mining Wheel Loaders

Initial validation performed on CAT 994 loader fleets. Continuous oil and sensor monitoring for drive trains, hydraulics, and powertrain systems.

Large Haul Trucks

Expanded deployment covering high-capacity haul trucks. Real-time engine, transmission, and suspension health monitoring across active fleets.

Earthmoving Equipment

Bulldozers, graders, and scrapers operating in demanding open-pit and surface mining environments with high duty cycles.

Heavy Construction Fleets

Multi-unit fleet management for construction and infrastructure operators requiring enterprise-level reliability and uptime.

Industry Deployment

Operating in real mining environments

The IMMEE platform is currently monitoring approximately 30 heavy mining equipment units across multiple mining sites, providing real operational environments for the development and validation of predictive maintenance models.

CAT 994 wheel loader fleet at an active mining site
Large haul truck in active mining operation
Mining loader in operational environment
Heavy mining equipment fleet operations
~30 Units monitored
Multiple Active mining sites
CAT 994+ Equipment categories
Commercial Partners

Global distribution ecosystem

IMMEE works with international commercial partners to distribute its predictive maintenance platform to equipment operators worldwide.

Emaco Inc.

International Distribution Partner

Strategic partner for the distribution of IMMEE's predictive maintenance platform to mining equipment operators across international markets.

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Join the leading mining companies that already trust IMMEE to optimize their operations.

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