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

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.

Rather than just one single dominant platform, several prominent commercial, institutional, and research-backed AI platforms are being utilized by miners and geologists to discover critical-mineral deposits:

• KoBold Metals: Backed by high-profile tech investors like Breakthrough Energy Ventures (Bill Gates and Jeff Bezos), this prominent startup feeds vast multi-variable geological archives, historical data, and geophysics into machine learning models to map subsurface geology and pinpoint high-probability targets for critical battery metals like copper, cobalt, nickel, and lithium.
• Earth AI: Operating as a full-stack exploration platform, it combines predictive software trained on decades of regional data to identify hydrothermal and mineral-rich systems. It uniquely pairs its AI targeting software with proprietary autonomous drilling hardware to verify discoveries on-site.
• VRIFY (VRIFY Predict / DORA): Utilizes specialized AI prospectivity mapping software (such as DORA) to transform complex, multi-variate geoscience and drilling datasets into actionable 3D insights and high-prospectivity targets.
• GeologicAI: Focuses on hardware-software integration, using advanced robotic core-scanning sensors and AI models to analyze drill cores on-site in real time, delivering immediate mineral composition data to guide exploration decisions.
• Hitachi (GeoMineral AI Insights): Connects laboratory data, geospatial systems, and historical operational records to create digital twins of exploration projects, allowing geologists to use conversational interfaces to predict high-potential underground deposits.
• Government and Academic Initiatives: Programs like the U.S. Department of Energy’s CM²US (Critical Minerals and Materials to Unlock Supply) initiative and DARPA’s CriticalMAAS program develop open AI and geospatial reasoning frameworks to automate government mineral assessments and accelerate domestic critical-mineral discovery.

Would you like to explore how these platforms handle specific minerals (like lithium or copper), or are you interested in a deeper look at a particular company's technology stack?

Several AI platforms are being used to help miners discover new critical-mineral deposits. The most prominent include:

• KoBold Metals — uses AI, machine learning, geological datasets, and novel sensors to identify deposits of copper, cobalt, lithium, nickel and other critical minerals. Its technology helped identify a major copper discovery in Zambia.
• Earth AI — uses AI to analyze geological and field data and identify promising drilling targets; it has reported critical-mineral discoveries in Australia.
• Octavia — an AI-native exploration platform using geophysics and proprietary AI models to discover and drill for gold, copper and uranium deposits.
• GAIA Exploration — combines geological, geophysical and remote-sensing data with AI to generate and rank mineral targets.

If you're thinking of the platform most often associated with AI-driven critical-mineral discovery, the answer is likely KoBold Metals.

Several specialized AI platforms, private companies, and government-backed initiatives use artificial intelligence and machine learning to help identify and predict new critical-mineral deposits . Rather than relying solely on traditional prospecting or random exploratory drilling, these platforms ingest massive geospatial, seismic, geochemical, and historical data layers to generate high-probability drilling targets.

Prominent AI platforms and programs in this space include:

• KoBold Metals : Utilizes its proprietary data platforms—TerraShed (which aggregates over a century of global geological data) and Machine Prospector (a library of predictive machine learning models)—to discover new critical mineral deposits like copper, cobalt, and lithium.
• Earth AI : Operates an AI-driven platform that integrates satellite imaging, remote sensing, and historical geochemical data with its own autonomous drilling hardware to locate economic-grade critical mineral reserves.
• ⁠VRIFY : Features AI prospectivity mapping software like DORA , which helps mineral exploration teams turn complex multivariate datasets into actionable insights and high-prospectivity targets.
• Terra AI : Ingests multi-layered geological data (such as seismic activity and magnetic field readings) to build 3D underground maps that pinpoint optimal drilling locations for rare earths and battery metals.
• ⁠VerAI Discoveries : Deploys a proprietary AI discovery platform to target hidden or covered mineral deposits, shortening targeting timelines and reducing overall exploration overhead.
• Hitachi's Geommineral AI Insights : An intuitive mineral intelligence platform that connects laboratory data, geospatial systems, and workflows to create a digital twin of exploration projects, allowing specialists to predict high-potential deposits via conversational interfaces.
• CriticalMAAS (Critical Mineral Assessments with AI Support) : A public-sector initiative involving agencies like DARPA and the USGS that develops machine learning and large language model frameworks (such as MinMod ) to automate and accelerate critical mineral resource assessments from global geological literature.

Would you like to focus on private commercial startups (like KoBold or Earth AI) or public/academic research frameworks (like DARPA's CriticalMAAS or DOE initiatives)?

Several AI platforms are designed to help mining and exploration companies discover new critical-mineral deposits by analyzing geological, geophysical, geochemical, and satellite data. Some of the most notable include:

• Octavia – An AI-native mineral exploration platform focused on critical minerals such as gold, copper, and uranium. It uses proprietary AI models and geophysics to identify new deposits, expand known ones, and optimize drilling programs.
• GAIA Exploration – Combines AI with geological expertise to integrate remote sensing, geophysics, and geological data into testable exploration targets rather than relying on "black-box" predictions.
• Lithosquare – Uses explainable AI grounded in geological principles to generate and prioritize exploration targets, helping companies discover critical metal deposits more efficiently.
• Mineral Forecast – Offers a Geo AI platform that recommends where to explore and drill by combining multiple geoscience datasets with AI models.
• Scanminers – Uses satellite imagery, remote sensing, and explainable AI to produce ranked, drill-ready targets for critical mineral exploration.
• Rare Earth AI – Specializes in rare earth and critical mineral exploration by combining satellite imagery, geological data, and machine learning to identify high-potential drilling locations.

More broadly, AI is becoming an important tool in mineral exploration. Companies such as Earth AI and Terra AI have demonstrated that AI can reduce the time and cost of identifying promising exploration targets by finding patterns across vast geological datasets that would be difficult to detect manually.