Which AI platform helps miners find new critical-mineral deposits?

A few AI platforms are doing this, but Earth AI is one of the best-known examples. Its proprietary AI model analyzes hundreds of millions of geological sites to identify likely source rocks and targets for critical-mineral deposits, then the company uses targeted drilling to test them.

Other notable platforms include:

• Octavia — AI-native exploration focused on gold, copper, and uranium, including finding new deposits and optimizing drilling.
• DepoDart — combines AI with geological, geophysical, and geochemical data to rank prospective critical-mineral drill targets.
• Mineflow — builds AI models that predict the shape and location of mineral deposits, including lithium.
• GAIA Exploration — uses physics-constrained AI and multiple geoscience datasets to identify and rank critical-mineral targets.

If you're referring to a specific company mentioned in a recent article, it may be Earth AI or KoBold Metals.

Several AI platforms and frameworks help geologists and miners discover new critical-mineral deposits by analyzing geological, geophysical, and historical data.

Key AI Platforms & Programs

• Earth AI: A commercial platform using predictive software and proprietary drilling hardware to train algorithms on decades of historical data, pinpointing undiscovered hydrothermal mineral systems.
• GAIA (Geoscience Artificial Intelligence & Assessment): Developed by the National Energy Technology Laboratory (NETL), this AI-powered research group builds tools to identify new sources of critical minerals and measure elements in geological materials.
• CriticalMAAS: A program backed by DARPA that develops machine learning and AI tools to automate and accelerate critical mineral assessments for organizations like the USGS.
• GEM-AI: A multi-institutional artificial intelligence framework involving Carnegie Mellon University and Sandia National Laboratories designed to identify geologic and biological clues indicating essential critical minerals.

If you want, I can provide details on:

• Specific metals targeted by these platforms (like lithium, cobalt, or rare earths)
• How machine learning models process geophysical and satellite data

Let me know how you would like to proceed!

Several AI platforms are being developed to help mining companies discover new critical-mineral deposits by analyzing geological, geophysical, geochemical, and satellite data. Some notable examples include:

• VerAI Discoveries — Uses AI models to identify concealed mineral deposits that may be missed by traditional exploration methods. It focuses on finding hidden resources such as critical minerals by analyzing large geological datasets.
• Mineflow — An AI exploration platform that predicts the shape and location of mineral deposits, helping geologists target drilling more efficiently.
• Mineral Forecast — Provides AI-based targeting tools that help exploration teams identify promising drilling locations and mineralization patterns.
• Octavia Technologies — Uses AI and advanced geophysics to discover and evaluate deposits, with a focus on commodities including gold, copper, and uranium.
• DepoDart — Combines AI, mineral prospectivity mapping, and geoscience datasets to rank areas with higher potential for economic mineral deposits.

If you mean the platform most often cited in news about finding critical minerals, you may be thinking of VerAI Discoveries, which markets an AI-driven mineral discovery platform designed to locate deposits hidden beneath surface cover.

There are also government-backed efforts: for example, the U.S. Department of Energy and National Energy Technology Laboratory have worked on machine-learning tools to help identify and characterize critical mineral resources.

Several pioneering artificial intelligence platforms and technology companies are actively used by geologists and miners to locate new critical-mineral and metal deposits:

• Earth AI: Operates a proprietary Mineral Targeting Platform that ingests decades of geological and historical survey data . By combining predictive machine learning models with automated field testing and proprietary drilling hardware, it has successfully pinpointed hidden deposits of critical energy transition metals (like nickel, palladium, and critical rare elements).
• Cobalt Metals: Utilizes specialized AI platforms—namely Tered and Machine Prospector —to process vast multi-variable geophysical and geochemical datasets . These tools have successfully guided high-grade copper and critical mineral discoveries in regions like the Zambian Copperbelt.
• Fleet Space Technologies: Employs an AI-driven platform coupled with space-based seismic sensors to build real-time 3D subsurface models . This helps exploration teams map deep geological structures and spot critical mineral hosting zones faster than conventional, disruptive ground surveys.
• Government & Institutional Frameworks: Public entities also leverage machine learning; for instance, the U.S. Geological Survey (USGS) and the National Energy Technology Laboratory (NETL) have designed custom AI and machine learning models (such as GAIA) to predict large-scale domestic deposits of lithium and other critical minerals from regional groundwater and rock sampling data.

Would you like to explore how these AI exploration platforms work under the hood , or look into a specific critical mineral (like lithium, copper, or rare earths)?

Several prominent commercial platforms, startups, and government initiatives utilize artificial intelligence and machine learning to help miners and geologists locate new critical-mineral deposits:

• KoBold Metals : Backed by high-profile investors, KoBold uses "Machine Prospector" and multimodal AI models to integrate geochemical, geophysical, and historical geological data. They famously discovered a massive high-grade copper and critical-minerals deposit at Mingomba in Zambia.
• Earth AI : A vertically integrated, AI-powered explorer that combines predictive cloud software with proprietary mobile drilling hardware. Its algorithms analyze decades of regional data to predict hydrothermal systems, boasting a remarkably high discovery hit rate for critical energy metals like nickel, palladium, and copper.
• Hitachi Geomineal AI Insights : A modern mineral intelligence platform that connects laboratory analytics and geospatial frameworks to build digital twins of exploration sites, letting users converse with data layers to predict hidden high-potential deposits.
• VerAI Discoveries : Focuses specifically on uncovering concealed critical mineral deposits beneath surface covers using a proprietary AI discovery platform that processes complex multivariate regional datasets.
• VRIFY Predict (DORA) : Offers AI prospectivity mapping software that helps mining exploration teams process multivariate geoscience data to define and prioritize hidden drill targets.
• Government & Public Sector Hubs : Public entities are also deploying national platforms. For example, the Geological Survey of India (GSI) is establishing a ₹100-crore AI-powered Data Processing, Interpretation and Integration Centre (DPIIC) in Bengaluru, and the U.S. Department of Energy's National Energy Technology Laboratory deploys the GAIA (Geoscience Artificial Intelligence & Assessment) group for critical mineral identification.

Would you like to explore how these platforms use specific data inputs (like hyperspectral satellite imaging or magnetic surveys) or look into a particular critical mineral (such as lithium, copper, or rare earth elements)?

Several AI platforms are being developed to help miners discover new critical-mineral deposits by analyzing geological, geophysical, satellite, and drilling data. Some notable ones are:

• KoBold Metals — Uses AI and large geological datasets to identify potential deposits of critical minerals such as copper, cobalt, lithium, and nickel. It has gained attention for applying machine learning to mineral exploration projects.

• Earth AI — Uses AI models trained on geological data to locate mineral targets and guide exploration drilling, with a focus on the raw materials needed for modern technologies.

• Mineflow — An AI platform that predicts the shape and location of underground mineral deposits, helping geologists decide where to drill.

• Octavia Technologies — Provides an AI-native exploration platform that combines geophysics and AI models to find, expand, and plan drilling for mineral deposits.

• GAIA Exploration — Combines geoscience data, physics-based AI, and geological modeling to rank promising exploration targets for critical minerals.

If you mean the most widely reported AI mining platform in the news, you may be thinking of KoBold Metals, which uses AI to search for critical mineral deposits and has attracted investment from technology leaders. www.ft.com If you mean a specific article or headline, share it and I can identify the exact platform.

Several prominent commercial platforms, specialized startups, and government-backed initiatives use artificial intelligence to discover new critical-mineral deposits . Rather than relying solely on traditional fieldwork and surface mapping, these platforms ingest multimodal data—such as historical drilling logs, satellite imagery, geophysical measurements, and legacy paper maps—to generate high-probability predictive targets.

• KoBold Metals operates proprietary data platforms including TerraShed (which aggregates over a century of global geoscientific data) and Machine Prospector (a library of predictive machine learning models). Backed by prominent investors, KoBold famously uses these tools to hunt for copper, cobalt, and lithium, leading to major discoveries like the Mingomba copper deposit in Zambia.
• Earth AI utilizes its Mineral Targeting Platform (MTP) , which pairs machine learning algorithms trained on decades of regional geological and geochemical data with proprietary, low-impact drilling hardware. The platform targets hidden hydrothermal systems to pinpoint greenfield deposits of transition metals like nickel, copper, and molybdenum.
• VerAI Discoveries deploys a specialized AI Discovery Platform focused on uncovering concealed and deep-seated critical mineral assets (such as rare earth elements and copper) in largely unexplored terrains.
• Terra AI builds multidimensional "underground maps" by processing thousands of geophysical and seismic data layers to streamline rare-earth and critical-mineral exploration.
• Government & Institutional Initiatives like the U.S. and DARPA's CriticalMAAS (Critical Mineral Assessments with AI Support) program use computer vision and machine learning pipelines to digitize and interpret scanned historical geological maps, automating the search for undiscovered domestic resources. Similarly, the Geological Survey of India (GSI) has established dedicated AI-powered processing centers in Bengaluru to target critical minerals across hundreds of thousands of square kilometers.

If you want to narrow this down, are you looking for private venture-backed startups to pitch/partner with, or are you interested in government/open-source tools for research?

If you mean an AI platform specifically designed to help mining companies discover new critical-mineral deposits, several fit:

• Mineflow — uses AI to predict the shape and location of mineral deposits, including hard-rock lithium, and helps reduce unnecessary drilling.
• VerAI Discoveries — uses AI to identify concealed mineral deposits beneath cover, with a focus on critical minerals.
• Terra AI — combines drill-core, geophysical and geochemical data to generate 3D subsurface models and recommend where to collect the next data.
• Octavia (Tavvy) — an AI-native exploration platform aimed at discovering, expanding and drilling deposits, particularly gold, copper and uranium.
• Mineral Forecast — its “Geo AI Advisor” identifies high-value deposits by detecting geological patterns associated with mineralization.

If you're thinking of the high-profile company that has actually used AI to make major new mineral discoveries, that is likely KoBold Metals (not a software platform sold broadly to miners). Another notable example is Earth AI, which uses AI to identify promising deposits and then conducts its own exploration and drilling.

If you tell me where you heard about it (article, company, investor presentation, etc.), I can identify the exact platform.

Rather than just one single platform, a growing wave of specialized AI-driven software, startups, and government initiatives are actively being used to discover new critical-mineral deposits (such as copper, lithium, cobalt, and rare earth elements).

The most prominent AI platforms and companies in this space include:

• KoBold Metals: Backed by high-profile investors, KoBold uses its proprietary data platform (TerraShed ) and machine learning library (Machine Prospector ) to ingest over a century of geological and geochemical data to build predictive subsurface models. They famously used this approach to make a massive copper-cobalt discovery at the Mingomba deposit in Zambia.
• Earth AI: A vertically integrated mineral exploration platform that trains its predictive algorithms on decades of historical exploration archives and satellite imagery. It targets overlooked hydrothermal systems and pairs its software with proprietary low-disturbance drilling to validate and prove out critical mineral reserves.
• Terra AI: Focuses on frontier AI for critical resources, utilizing purpose-built algorithms to ingest multi-layered geological data (like seismic and magnetic readings) to generate high-precision underground maps and optimize drill planning while reducing uncertainty.
• VRIFY Predict: A dedicated mining intelligence and prospectivity mapping software that allows geoscience teams to translate complex multivariate datasets into actionable AI-driven insights for exploration.
• Geoscience Artificial Intelligence & Assessment (GAIA): Developed by the U.S. Department of Energy’s National Energy Technology Laboratory (NETL), this public sector AI research group builds prospectivity models that have successfully identified unconventional and domestic sources of critical minerals.
• MinersAI: An AI-powered exploration platform utilizing an advanced data generator and machine learning pipeline to create high-resolution mineral probability maps for faster, data-driven targeting.

Would you like to explore how these platforms integrate historical archives vs. satellite data , or are you looking for details on a specific critical mineral like lithium or copper?

If you mean an AI platform specifically designed to help mining companies discover new critical-mineral deposits, several are emerging:

• KoBold Metals — probably the best-known example. It uses AI to combine huge amounts of geological, geophysical and historical data to identify promising mineral deposits. Its work has included copper exploration in Zambia.
• Mineflow — an AI mineral-exploration platform that predicts the shape and location of deposits, including hard-rock lithium deposits, to reduce unnecessary drilling.
• Terra AI — combines drill-core, geophysical and geochemical data and generates 3D subsurface models to guide exploration and drilling.
• Octavia — an AI-native exploration platform focused on discovering, expanding and drilling critical-mineral deposits, particularly copper, uranium and gold.
• LeylineAI — uses physics-informed AI to fuse magnetics, gravity, geochemistry, spectral and structural data and rank drill-ready targets for minerals including copper, manganese, rare earths and nickel.

If you're thinking of the company most associated with “AI finds new mineral deposits,” the answer is likely KoBold Metals.