AI-assisted mapping uncovers new compelling uranium target for Future Fuels in Canada
TSX-V-listed Future Fuels has identified multiple high-priority exploration targets across its Hornby Basin uranium project, in Nunavut, using an AI-assisted prospectivity mapping programme.
The AI analysis, which was powered by VRIFY's DORA platform, was undertaken over the entire 3 407 km2 land package, and, in particular, identified a compelling new undrilled target called Lambda immediately south of the historic Mountain Lake uranium system.
Another five targets, Sigma, Alpha, Rho, Tau and Iota, occur in previously underexplored areas with favourable geology, structures and geophysical features, representing compelling unconformity-type targets for Future Fuels.
Future Fuels CEO Rob Leckie says the results from the AI-assisted mapping programme represent a "pivotal" moment for the company. "For the first time, decades of fragmented exploration data from multiple operators has been compiled and analysed through advanced AI across the entire Horny basin."
He adds that the company now has a clear and data-driven exploration framework that outlines compelling new targets, validates historically mineralised zones and identifies a potential district-scale uranium system with multiple independent target styles.
"The identification of the Lambda target, an undrilled zone immediately adjacent to an 8.2-million-pound historic uranium system, supported by radiometric and electromagnetic signatures, is exactly the kind of insight that modern AI can unlock in underexplored, data-rich projects.
"Combined with the structural high-grade opportunity at Mountain Lake and the untested targets across the southern basin, we believe the Hornby basin offers exceptional exploration upside. We look forward to refining these targets with our 2026 spring work programme and advancing the most prospective areas toward drill testing," Leckie concludes.
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