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AI-Assisted Process Control

Support operators and improve performance with a new layer of transparent, adaptive process control.

Are you leaving value on the table in your mining operations?


Inconsistent decision making, dependency on a shrinking talent pool, declining ore grades, and difficulty optimizing economic outcomes, all contribute to avoidable value loss.

Traditional control approaches to advanced control weren’t designed to model complex processes or interactions between large flowsheet areas, which demands new technology for advanced decision automation.

What is AIPC?

AI-Assisted Process Control (AIPC) adds an intelligent, predictive layer on top of your existing control system, acting like an operational co-pilot that works directly with operators to keep the plant ahead of changing conditions.

By continuously learning from your data, it aligns its decisions to your site’s day-to-day operating realities and economic objectives and adapts as those priorities evolve. AIPC helps optimize performance throughout the value chain, not just within individual units.

Because it works with the infrastructure you already have, it’s a low-disruption way to unlock performance you already own. And when you partner with us on implementation and long-term sustainment, your sites see the benefits compounding over time.


Proof of our impact

AIPC Processing Plant

At MMG’s Dugald River mine, Hatch deployed a closed-loop AIPC directly within the control layer. 
By autonomously optimizing 16 control variables in real time, the solution delivered a 0.5% zinc recovery improvement on a circuit already operating above 97% recovery.

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Meet the cross-functional experts behind AIPC

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