Vancouver, British Columbia — January 15, 2026 — Leads & Copy — Algo Grande Copper Corp. (TSXV: ALGR) (OTC Pink: KNDYF) (FSE: KM00) has engaged AI-Metals to execute a 12-month AI-driven data reprocessing and integration program across its 100% owned Adelita Copper-Gold-Silver Project in Sonora, Mexico.
The AI-Metals platform will be continuously updated as new exploration data is generated through the ongoing drilling and field programs. The results will be used to refine drill targeting and support a Phase 2 exploration program planned for late Q1-early Q2 2026.
The engagement is a core component of Algo Grande’s strategy to apply modern, data-driven exploration techniques to complex mineral systems by integrating historical and newly generated datasets to reduce exploration risk and refine drill targeting.
This work builds directly on the Company’s recent announcement identifying 32 high-priority exploration targets, the commencement of a high-definition ground magnetic survey, and the development of a modern 3D geological model at Adelita.
In collaboration with AI-Metals, Algo Grande has completed an integrated analysis that synthesizes:
Airborne magnetic and electromagnetic (AEM) datasets
Satellite-derived alteration indices (hydroxyl and ferric oxide signatures)
Surface geochemical sampling
Induced polarization (IP) chargeability and resistivity data
The objective of this analysis is to identify zones where multiple independent datasets spatially converge, thereby reducing ambiguity inherent in single-dataset interpretation and providing a more robust technical basis for target definition.
The AI-driven results support and enhance the target framework previously communicated, with coincident geophysical and geochemical signatures interpreted to be consistent with skarn-style copper mineralization developed proximal to intrusive-carbonate contacts, the same geological context underpinning the 32 high-priority targets announced previously.
The AI-driven integration of geological, geochemical, and geophysical datasets provides a coherent picture of a large, structurally controlled skarn-porphyry mineral system at Adelita.
Independent datasets consistently converge along the same corridors, materially strengthening confidence in the Company’s priority targets. This integration highlights how surface alteration, geochemical anomalies, magnetic responses, and subsurface IP signatures overlap, suggesting vertical continuity from surface expressions into deeper potential mineralized zones. This multi-layered convergence significantly reduces single-dataset ambiguity and supports systematic drill targeting.
The AI-Metals analysis is integrated with the Company’s broader technical work, including:
Modern 3D reprocessing of historical magnetic, IP, and MT datasets (now completed)
Ongoing high-definition ground magnetic survey over the Cerro Grande skarn zone
Results from the Company’s current oriented-core diamond drilling program
Surface trenching, geological mapping, and systematic geochemical sampling
This combined dataset is being incorporated into a unified 3D geological and structural model to sharpen understanding of mineralization geometry, continuity, and controls, and to prioritize de-risked drill targets.
The Company intends to use this integrated model combining AI-generated prospectivity, detailed ground geophysics, and oriented core drilling to further refine drill targeting and support the design of a Phase 2 exploration program, which Algo Grande aims to commence toward the end of Q1 or early Q2 2026, subject to results and logistics.
Algo Grande also announces that it has entered into a market making services agreement with Independent Trading Group (ITG), Inc. (“ITG”), a CIRO-registered dealer member with a place of business in Toronto, Ontario, to provide market making services for the Company’s common shares trading on the TSX Venture Exchange. In consideration for these services, Algo Grande will pay ITG a monthly cash fee of $6,000, plus applicable taxes. No shares or options are being granted to ITG in connection with the engagement.
The disclosure of scientific and technical information contained in this news release has been reviewed and approved by Lorne Warner, P.Geo., who is a “qualified person” within the meaning of National Instrument 43 -101- Standards of Disclosure for Mineral Projects (“NI 43-101”). Mr. Warner is responsible for the technical content of this news release. Mr. Warner is independent of the Company.
AI-Metals is a data science and geoscience analytics firm specializing in the application and creation of novel AI, Machine Learning, and heterogeneous dataset integration of complex geological systems.
Algo Grande Copper Corp. is a growth-focused mineral exploration company advancing the Adelita Project, a district-scale, multi-system copper-gold-silver opportunity positioned in the prolific Arizona-Sonora copper belt.
The 5,895-hectare Adelita Project is anchored by the high-grade Cerro Grande Cu-Au-Ag skarn discovery, which exhibits strong continuity along a defined corridor extending over 6 kilometers.
Enrico Gay
Chief Executive Officer
E-mail: info@algo-grande.com
Source: Algo Grande Copper Corp.
