KoBold Metals, which uses data science and ML to identify deposits of cobalt, copper, nickel, and lithium, raised $195M led by T. Rowe Price at a $1B+ valuation
Julie Steinberg / Wall Street Journal :
Context & Ripple Effects
KoBold's raise closes a two-year arc: after its $192.5M Series B from Apollo Projects, Bond Capital, and others funded the early data-science push into cobalt and other EV metals, this round brings in T. Rowe Price — a crossover investor whose presence signals that KoBold has moved from venture bet to institution-grade asset.
The valuation crossing $1B matters because the coverage shows what followed: filings tracking a much larger round in late 2024 (nearly half a billion dollars raised toward a $527M target) and a January 2025 Series C at a $2.96B valuation — making this June 2023 round the inflection point where the company's funding curve steepened.
First-order effects
- KoBold gains over $1B in fresh capital and unicorn status, letting it scale machine-learning prospecting for cobalt, copper, nickel, and lithium while its earlier backers' stakes are marked up by a public-markets-caliber lead.
Second-order effects
- T. Rowe Price's entry lowers the perceived risk of AI-led mineral exploration for other institutions, pressuring traditional mining investors and explorers to either adopt comparable data-driven targeting or concede discovery efficiency to well-funded entrants like KoBold.
Third-order effects
- If the trajectory holds — the corpus shows the valuation reaching $2.96B by the 2025 Series C — critical-minerals discovery consolidates around data-rich platforms rather than conventional geology teams, reshaping how battery-supply-chain players source upstream deposits.
The trend: AI-native mineral exploration is scaling through progressively larger institutional rounds, with each tranche validating data-driven prospecting as core infrastructure for the EV metals supply chain.