en.Wedoany.com Reported - Irish data analytics firm Stormlands Mining used artificial intelligence (AI) to conduct a new case study on the Regnault deposit within Quebec's Frotet project, boosting its valuation from $983.2 million to $3.08 billion without a formal preliminary economic assessment (PEA). The company leveraged AI to create a baseline economic model based on publicly available data and compared the results with those using updated commodity prices from March 2026.

Under the updated commodity prices, Stormlands' model increased the project's mine-life revenue from $6 billion in the baseline case to $11.8 billion, and earnings before interest, taxes, depreciation, and amortization (EBITDA) from $3.47 billion to $8.99 billion. The project's internal rate of return (IRR) rose from 34.8% to 92.6%, and the simulated payback period shortened from 2 years and 10 months to 1 year and 1 month.

Stormlands CEO Róisín O'Connell stated that the study demonstrates the potential of converting mining disclosures into structured, standardized data. The Frotet project has not yet released a public PEA, pre-feasibility study, or feasibility study. O'Connell noted that a greater opportunity for the mining industry lies in using AI and analytical tools to create data standards, fill analysis gaps, and transform fragmented technical disclosures into decision-ready economic models.

This case study is part of Stormlands' development of resource tools for mining companies to forecast and assess economic conditions. The firm has also conducted similar studies on projects such as Whistler, MPD, and Caliche.