Montero Mining accelerates mineral discovery in Chile using Artificial Intelligence

Montero Mining is using artificial intelligence to revolutionize mineral exploration in Chile, accelerating discovery and improving decision-making through advanced data integration.

Montero Mining is transforming its exploration process in Chile through the use of artificial intelligence (AI), enabling faster and more precise analysis of large and complex geological datasets. According to Dr. Tony Harwood, President and CEO, “AI integrates geological, geochemical, and geophysical data to identify subtle patterns that may indicate mineralization — patterns that traditional methods might overlook.”

This technology allows Montero to focus on the most promising exploration targets, optimize resources, and minimize early-stage risk, especially in Chile’s geologically diverse mining regions.

Human expertise meets machine intelligence

Montero’s approach is based on collaboration between experienced geologists and AI-powered systems. “AI doesn’t replace geological expertise — it amplifies it,” Harwood emphasized. Field geologists set the parameters, interpret the results, and validate AI models with real-world data, ensuring that technology is guided by scientific and operational knowledge.

The result is a synergy between human interpretation and machine learning that delivers more reliable, actionable exploration outcomes.

Faster, smarter, and more accurate exploration

The implementation of AI has dramatically reduced data analysis and interpretation time. “Tasks that once took weeks can now be completed in hours,” Harwood said. More importantly, accuracy in target identification has improved, allowing Montero to allocate budgets more effectively and make faster, data-driven decisions in the field.

Guiding new projects across Chile’s mining belts

Montero recently acquired new exploration properties across Chile’s prime mining belts, with AI playing a central role in shaping this expansion. “AI helped us identify and select the new projects we’ve recently acquired,” Harwood explained. By integrating geological, geochemical, and geophysical datasets, the technology highlighted areas with the strongest indicators of mineralization and the highest discovery potential.

Going forward, Montero plans to keep using AI to refine geological models, prioritize exploration targets, and optimize field programs — accelerating the path from early-stage prospecting to potential discovery.

Uncovering what traditional methods miss

In one early-stage project in Chile, AI-assisted modeling revealed structural and geological trends hidden beneath surface cover. “These subtle patterns were not visible through conventional interpretation,” Harwood noted. The findings led to new, high-priority drill targets, demonstrating how AI can uncover hidden mineral potential in complex terrains.