Algo Grande Copper (TSX-V: ALGR; WKN: A41UK1) has introduced a new component for exploration work at its 100% owned Adelita Copper-Gold-Silver Project in the Mexican state of Sonora: The company has commissioned AI-Metals, a service provider specializing in artificial intelligence and geoscientific analytics, to conduct a 12-month program to reprocess and integrate data. The goal is to combine historical information and currently generated data sets to improve the interpretation of a complex mineralization system, reduce exploration risks, and refine the prioritization of drill targets.
According to Algo Grande, the initiative follows on directly from recent work on the Adelita project. This includes the identification of 32 priority exploration targets, the launch of a high-resolution ground-based magnetic survey, and the development of a modern 3D geological model. The AI-assisted reprocessing now commissioned is intended to bring these building blocks together technically and update them on an ongoing basis: AI Metals’ platform will be continuously fed with new data from the company’s ongoing drilling and field programs.
Algo Grande Copper combines geology, geochemistry and geophysics of the Adelita project
At the heart of the program is an integrative approach that spatially relates several independent data types to each other. Algo Grande emphasizes that individual methods in exploration often leave room for interpretation, especially in geologically complex systems. This is exactly where AI-based evaluation comes in: it specifically searches for zones where different signals occur consistently, thereby increasing the probability that the observed anomalies have a common geological cause.
The integrated analysis already underway incorporates aeromagnetic and electromagnetic (AEM) data sets, satellite-based alteration indicators such as hydroxyl and iron oxide signatures, geochemical surface samples, and IP (induced polarization) data on chargeability and resistivity. By superimposing these layers, the aim is to identify areas where geochemical anomalies on the surface coincide with structural or lithological boundaries from geophysics and with indications of potential sulfide bodies in the subsurface.
According to the company, the results of the AI-assisted integration to date support and reinforce the previously communicated target scenario: several independent data sets converge along the same corridors. This is an important signal because it makes the picture of a large-scale, structurally controlled skarn-porphyry system at the Adelita project more consistent.
Indications of skarn-like copper mineralization and deeper sulfide targets
In terms of content, Algo Grande Copper classifies the patterns obtained as evidence of skarn-type copper mineralization, which tends to occur near contacts between intrusive rocks and carbonates. According to the company, it is precisely this geological constellation that forms the framework for the previously identified priority target corridors.
The figures described from the evaluation provide several building blocks for this. The AI-based cluster analysis identifies geologically and geochemically distinguishable zones; certain clusters are associated with interpreted skarn areas at Cerro Grande, while other clusters reflect geochemical signatures influenced by copper-gold or copper-molybdenum associations. In addition, magnetic and EM data show boundaries that are interpreted as possible intrusion contacts and skarn fronts. The company also refers to IP inversions that reveal larger, contiguous, chargeable bodies below approximately 100 to 200 meters – a possible indication of sulfide mineralization or a deep-reaching fault system.
From the company’s perspective, the question of vertical continuity is crucial for practical implementation: Where surface alteration, geochemical anomalies, magnetic reactions, and IP signatures overlap, Algo Grande sees a more robust basis for systematically setting and gradually refining drill targets.
Phase 2 in sight: Data model to support drilling planning from the end of Q1 2026
The AI program is embedded in the ongoing technical work. In this context, Algo Grande cites the modernized 3D reprocessing of historical magnetic, IP, and MT datasets, ongoing high-resolution ground magnetics over the Cerro Grande skarn zone, results from the current oriented diamond core drilling program, as well as trench sampling, mapping, and systematic surface sampling. This information will be incorporated into a unified 3D geological and structural model that better represents the geometry, continuity, and control of the mineralization.
The results derived from the integration will ultimately feed into the planning of a Phase 2 exploration program, which Algo Grande Copper aims to commence at the end of the first quarter or beginning of the second quarter of 2026, depending on results and logistical implementation. The company is thus relying on a continuous cycle of data collection, AI-supported interpretation, and targeted field follow-up to further refine drilling priorities at the Adelita copper, gold and silver project.
