Fitzroy Minerals and Fleet Space Technologies Use Machine-Learning to Define 9 Untested Targets at the Buen Retiro Copper Project, Chile
Vancouver, British Columbia – 22 October 2026 – TheNewswire - Fitzroy Minerals Inc. (TSXV: FTZ, OTCQX: FTZFF, FSE: C3Y) (“Fitzroy” or the “Company”) is pleased to announce the results of an integrated seismic and machine-learning (“ML”) targeting study, completed with Fleet Space Technologies (“Fleet”), at the Buen Retiro Copper Project, Copiapó, Chile (“Buen Retiro” or the “Project”). ML targeting generated a ranked set of priority domains (Figure 1) by combining 3D Ambient Noise Tomography (“ANT”) data with prior geophysical surveys, geological models, and approximately 24,400 copper assays from 140 drill holes. The model identified nine areas where the sub-surface characteristics closely resemble the signature of the rocks hosting Buen Retiro's known copper mineralization. Fleet's regional and infill ANT surveys mapped the Project's deeper geology well beyond the depths of current drilling. The technique uses natural seismic noise to build a 3D picture of the rock beneath the surface. This gives Fitzroy a 3D framework to trace known mineralized trends and identify new, previously untested opportunities down to a depth of approximately 400 metres, including toward the 100%-owned Sierra Fritis properties to the east. Extensive alluvial gravel cover in the area makes surface geological mapping and therefore target-generation, much more difficult.