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Mineral Forecast launches GEO AI ADVISOR, the new platform concentrating a decade of work in accelerating exploration with Data Geoscience
The company’s Data Geoscience service helps mining companies and geologists make more optimal and accurate decisions, using Artificial Intelligence to extract maximum knowledge from geological data.
Starting this August 25th, the tool is available for direct use by geology and exploration teams, who will be able to achieve a deep understanding of each project, making impactful decisions with complete confidence to increase the profitability of their exploration efforts.
Santiago, August 25, 2025. – After more than a decade leading the application of Artificial Intelligence (AI) and Data Geoscience in mining, Mineral Forecast announces the launch of GEO AI ADVISOR, its new platform that helps companies and exploration professionals decide with greater certainty where to invest, where to drill, and how to optimize their mining exploration projects.
Inspired by the field experience of one of its founders, Arturo Rochefort, who faced the growing difficulties and low returns of traditional exploration, Mineral Forecast was born in 2012 with a clear idea: “To find an effective way to read those patterns hidden in the data and thereby bring new technologies on par with new difficulties.” Today, that purpose materializes in an easy-to-use tool that allows for the integration of geoscientific data, the discovery of hidden patterns, and the generation of predictive prospectivity models with maximum precision.
With GEO AI ADVISOR, we provide the industry with a state-of-the-art platform that extracts maximum knowledge by integrating all types of geoscientific data. Our platform allows for cost reduction, risk mitigation, and accelerated discoveries, delivering recommendations that are 2 to 4 times more precise than traditional methods.
– Javier Muñoz, CEO of Mineral Forecast.
The new platform is distinguished by:
- Integrated vision of geoscientific data: Consolidates all information into a single geological framework.
- Explainable predictive models: Reveals patterns invisible to traditional methods to fully understand their logic.
- Measurable recommendations: Hypotheses are validated with existing drill holes, hidden from the system, ensuring a high level of certainty.
In its more than 10 years of experience, Mineral Forecast has supported mining companies in Chile, Argentina, Peru, and Mexico in critical strategic decisions, contributing to relevant discoveries, optimization of exploration campaigns, and quantifiable savings in costs and time. Although most of these cases remain under confidentiality agreements, their results demonstrate a real and tangible impact on the industry.
“Our greatest achievement is having demonstrated that data science applied to geology has a concrete and measurable return on our clients’ results. That is what we are now taking to the next level with GEO AI ADVISOR,” affirms Muñoz.
Global Projection
Looking ahead, Mineral Forecast projects that in the next 5 years, Data Geoscience will be available in practically all mining companies, and GEO AI ADVISOR is the tool designed to make this adoption easy, scalable, and global.
“We want our technology to be used worldwide, supporting hundreds of exploration teams to accelerate the discovery of thousands of deposits. The mining industry is slow to adopt innovation, but today we see that this change is accelerating. Those who don’t get on board will lose competitiveness,” Muñoz emphasizes.
With the launch of GEO AI ADVISOR, Mineral Forecast reaffirms its commitment to more precise, efficient, and sustainable mining, making available to the industry a platform that sets a new standard in the exploration of the future. “In this industry, we all face a common challenge: the sustainable future we envision requires minerals that we are currently unable to extract. It’s that simple. This is a shared mission that we, as an industry, are all called to overcome, and we are certain that through collaboration between mining companies, exploration teams, and technologies like ours, we will achieve it,” Muñoz stresses.
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