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Accelerate Exploration with a Geosciences-AI Platform

Mineral Forecast helps geologists at mining and exploration companies decide where to explore, where to drill, and how to optimize existing mining sites with new AI insights and recommendations.

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Trusted by geologists and global mining companies

Geosciences AI Solutions

What is Mineral Forecast?

Mineral Forecast's Geo AI Advisor is a geosciences-specific AI platform that helps mining and exploration executives decide where to stake a claim, where to drill, and how to optimize existing sites based on an integrated view of all available data, geologic criteria, and new AI insights.

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Geo Insights Hub

Shows all the data and variables you have for each mine, site, and location and generates 2D/3D visualizations and statistical analysis (EDA) of each area.

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AI Targeting

Identifies high-value deposits with geoscientific AI models that can detect geological patterns and identify the high-potential characteristics that predict mineralization at each site.

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Explainability Analytics

Supports each greenfield and brownfield drilling target with the numbers, reports, and analysis you need to explain and defend each targeting and optimization recommendation.

Mineral Forecast accelerates exploration

4X More effective drilling
+25% Faster discovery of resources
-30% Cost savings in drilling campaigns
100% Trust across enterprise teams

Customers

For all mining and exploration companies and teams

All industries

  • Base Metals
  • Precious Metals
  • Ferrous Metals
  • Rare Earth Elements
  • Industrial Minerals
  • Industrial Metals

All teams

  • Geologists
  • Exploration teams
  • Mining companies of all sizes
  • Mining teams
  • Drilling optimization teams
  • METS firms

All stages

  • Early exploration
  • Advanced exploration
  • Mine-site optimization
  • Brownfield exploration
  • Greenfield exploration

“Mineral Forecast helps mining companies to quickly decide where to drill.”

Boris Castillo Superintendent of Explorations, Compañía Minera del Pacífico (CMP)

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