Core Viewpoint - Algo Grande Copper Corp. has engaged AI-Metals to implement a 12-month AI-driven data reprocessing and integration program for its Adelita Copper-Gold-Silver Project in Sonora, Mexico, aiming to enhance exploration techniques and reduce risks [1][2][8] Data Integration and Exploration Strategy - The integration of historical and new datasets is a key strategy to refine drill targeting and reduce exploration risk [2][8] - The AI-Metals platform will be continuously updated with new geological, geochemical, and geophysical data generated from ongoing drilling and field programs [3][8] Target Identification and Confirmation - The AI-driven analysis has identified zones where multiple independent datasets converge, enhancing the technical basis for target definition [4][6] - The results support the previously identified 32 high-priority exploration targets, indicating consistency with skarn-style copper mineralization near intrusive-carbonate contacts [5][6] Geological Insights - The integration of datasets reveals a large, structurally controlled skarn-porphyry mineral system at Adelita, with independent datasets converging along the same corridors [6][7] - Surface alteration, geochemical anomalies, and magnetic responses suggest vertical continuity from surface expressions into deeper mineralized zones, supporting systematic drill targeting [7][8] Future Exploration Plans - The integrated model will be used to refine drill targeting and support a Phase 2 exploration program planned for late Q1 to early Q2 2026 [17][8] - The AI-driven data integration enhances the understanding of the scale, architecture, and controls of the Adelita mineral system, reinforcing high-confidence targets [17] Market Engagement - Algo Grande has entered into a market-making services agreement with Independent Trading Group (ITG) to maintain liquidity for its common shares on the TSX Venture Exchange [18][22]
Algo Grande Engages AI-Metals to Advance AI-Driven Integration Across Adelita Data; Reinforces Target Framework from Prior Geophysical Programs