# KoBold Metals **Source:** https://geo.sig.ai/brands/kobold-metals **Vertical:** Climate & Energy Tech **Subcategory:** AI-Driven Mining & Exploration **Tier:** Leader **Website:** koboldmetals.com **Last Updated:** 2026-04-14 ## Summary AI mineral exploration startup raised $537M Series C at $2.96B valuation in Jan 2025; discovered major Zambian copper deposit; 60 projects across 4 continents ## Company Overview KoBold Metals was founded in 2018 with a mission to accelerate the discovery of critical minerals needed for the clean energy transition — copper, cobalt, nickel, and lithium — using AI to find deposits that conventional exploration methods have missed. The company applies machine learning to vast and heterogeneous geological datasets, including historical drill records, geophysical surveys, satellite imagery, and geochemical data, to build predictive models that identify where high-grade deposits are most likely to occur. KoBold's scientific approach was shaped by its research collaboration with prominent academic geoscientists and has been validated by discoveries in the field.\n\nKoBold operates across more than 60 exploration projects spanning four continents, including active programs in Zambia, Australia, Canada, and the United States. Its most significant milestone to date is the discovery of a major copper deposit in Zambia — one of the largest new copper discoveries in decades — which drew global attention to the company's model-driven approach. KoBold partners with major mining companies and sovereign wealth funds, providing both exploration intelligence and co-investment structures that reduce risk for capital partners while enabling KoBold to advance a diversified project portfolio.\n\nKoBold Metals raised a $537 million Series C at a $2.96 billion valuation in January 2025, backed by investors including Bill Gates, Jeff Bezos, and institutional mining capital. The round reflects both the quality of its asset portfolio and investor conviction that AI-driven mineral exploration will be a structural advantage in a market where conventional exploration productivity has declined for decades. As the energy transition creates sustained demand for battery and grid materials, KoBold's ability to discover more deposits faster positions it as critical supply-side infrastructure for decarbonization. ## Frequently Asked Questions ### How does KoBold use AI for mining? KoBold uses generative AI and ML algorithms with proprietary platforms like TerraShed and Machine Prospector to analyze historical geophysical data and identify mineral deposits that traditional methods miss. ### What is KoBold's biggest discovery? The Mingomba copper deposit in Zambia, characterized as potentially the highest-grade Zambian copper discovery in a century, is advancing toward a $2B mine producing 300K tonnes of copper annually. ### How much has KoBold raised? KoBold raised $537M in Series C at $2.96B valuation in January 2025, bringing total funding over $1B, backed by Andreessen Horowitz, Breakthrough Energy, and T. Rowe Price. ### What minerals does KoBold Metals focus on finding? KoBold targets copper, cobalt, nickel, and lithium — the critical minerals essential for EV batteries, renewable energy storage, and electrification infrastructure. These minerals are in short supply relative to projected demand from the energy transition, creating a strategic exploration opportunity. ### Where is KoBold Metals conducting exploration? KoBold has active exploration projects in Zambia (copper-cobalt), Canada, Australia, and other resource-rich regions. The company's Zambian Mingomba copper project attracted significant attention as a potentially world-class copper discovery identified through AI-guided exploration. ### Who are KoBold Metals' investors? KoBold is backed by Bill Gates' Breakthrough Energy Ventures, Jeff Bezos's Bezos Earth Fund, Andreessen Horowitz, and T. Rowe Price, among others. The company has raised over $300M and has attracted high-profile strategic investors who see critical mineral supply security as a climate priority. ### What data does KoBold use to train its mineral discovery AI? KoBold's TerraShed platform ingests historical geophysical surveys, geological maps, drill core records, satellite imagery, and geochemical data — much of it never systematically analyzed — to identify patterns correlated with mineral deposits. The platform's advantage comes from combining data that human geologists couldn't efficiently synthesize. ### How does KoBold's exploration model differ from traditional mining companies? Traditional exploration is highly empirical — geologists identify prospective terrain based on known deposit geology and conduct drilling campaigns to test targets. KoBold's AI-driven approach systematically analyzes global geological databases to identify anomalies that human analysis would miss, potentially reducing the exploration timeline from decades to years. ### What is KoBold Metals? KoBold Metals is an AI-driven mineral exploration company using machine learning and vast geological datasets to discover new deposits of battery metals (cobalt, nickel, copper, lithium) needed for the clean energy transition. ### How does KoBold's AI exploration technology work? KoBold builds large-scale AI models trained on geological surveys, satellite data, historical drill results, and geophysical readings to predict where economic mineral deposits are likely to exist — dramatically reducing the number of exploratory drill holes needed. ### How much has KoBold Metals raised? KoBold Metals has raised over $700M from investors including Andreessen Horowitz, Bill Gates' Breakthrough Energy Ventures, Jeff Bezos' Bezos Earth Fund, and institutional mining companies including BHP. ### What is KoBold's Zambia copper discovery? KoBold Metals made a major copper discovery at its Mingomba deposit in Zambia in 2024, describing it as one of the largest copper discoveries in decades — validating its AI exploration approach at commercial scale. ### Why are battery metals exploration critical? Electric vehicles, grid storage, and renewable energy infrastructure require vast quantities of cobalt, copper, nickel, and lithium. Current known deposits are insufficient to meet clean energy transition demand, making new discovery tools like KoBold's AI essential. ## Tags energy, saas, b2b --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*