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Machine learning-powered process optimisation engine that identifies optimal processing conditions from millions of plant data points.

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About MI Process Optimiser

MI Process Optimiser sits on top of MI Core, capturing data from millions of data points across the plant to identify optimum processing conditions using machine learning. The system handles time-lag dependencies (critical in minerals processing where cause and effect are often separated by hours), non-linear calculations, and multi-variable optimisation. It continuously learns plant operating patterns and compares theoretical optimal conditions against actual performance, quantifying the gap and recommending adjustments.

While MI Core answers what is happening and why, MI Process Optimiser answers what should we do differently. The distinction is important: MI Core is the digital twin and accounting foundation; MI Process Optimiser is the prescriptive analytics layer built on that foundation. Together they form a complete loop from data capture through reconciliation to actionable process improvement recommendations.

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