AI prospectivity map showing 33 gold targets
Technical Approach

AI Targeting &
Exploration Strategy

Mercator's AI-assisted, geologist-led targeting platform integrates hundreds of geoscience data layers to identify and rank gold targets — but geologists remain in charge of exploration decisions.

9
Very High Priority

Top-ranked targets with the highest prospectivity scores, prioritized for Phase 1 drilling.

Multiple
High Priority

Strong targets for follow-up field work and potential drill testing in later phases.

Remaining
Moderate Priority

Additional targets providing district-scale optionality across the property.

How It Works

From Data to Discovery

01

Data Integration

Up to 500 layers of geoscience data compiled and standardized into a single spatial framework.

02

AI Prospectivity Model

Machine learning model generates a prospectivity score from 0 to 1 for every point on the property.

03

Target Identification

33 anomalous prospectivity targets identified and ranked by score, geological favourability, and accessibility.

04

Geologist Validation

Targets are reviewed and validated by experienced geologists before field work — AI focuses, humans decide.

05

Field Verification

Mapping, sampling, and ground truthing confirm model predictions before committing drill capital.

06

Drill Testing

Priority targets are drill-tested with focused, data-supported hole placement — not speculative grid drilling.

Data Inputs

500+ Layers of Geoscience Data

Geochemistry

Historical soil, till, and rock sample assays — including gold, pathfinder elements, and multi-element data.

Lithology

Bedrock geology maps, volcanic and intrusive rock types, and stratigraphic relationships.

Magnetics

Airborne and ground magnetic surveys revealing structural architecture and lithological contacts.

Lineaments

Structural lineament analysis — faults, shear zones, and structural corridors from geophysics and mapping.

Prospectivity Maps

33 AI-Identified Gold Targets

Prospectivity Map — East Section

Prospectivity Map — East Section

LS-07, LS-08, LS-25 and other targets along the Disson corridor

Prospectivity Map — West Section

Prospectivity Map — West Section

Western targets including LS-11 through LS-31 clusters

Priority Targets

Top-Ranked AI Targets

LS-08
0.76
AI Score

Highest overall AI score. Disson Shear Zone. Top priority for 2026 drilling.

LS-07
0.67
AI Score

Highest lithology sub-score (0.90). Elevated due to Vior Ligneris extension results.

LS-25
Priority
AI Score

Part of the North Ligneris / Disson corridor expansion story.

Philosophy

AI Focuses. Geologists Decide.

The AI targeting model does not replace field work. It focuses and prioritizes exploration — identifying where geological, geochemical, and geophysical data collectively suggest the highest prospectivity for gold mineralization.

But targets are only starting points. Human geological validation, structural mapping, ground geophysics, geochemical sampling, and ultimately drilling remain essential to testing and refining these targets.

Data-supported exploration, geologist-led decisions, disciplined capital deployment.

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Goldcana Resources Inc.

Advancing the La Sarre Gold Project — a district-scale exploration opportunity in Québec's Abitibi Greenstone Belt.

Investor Relations

© 2026 Goldcana Resources Inc. All rights reserved.

This website contains forward-looking statements and information relating to Goldcana Resources Inc. and its business. Forward-looking statements are based on certain key expectations and assumptions made by Goldcana Resources Inc. Although Goldcana Resources Inc. believes that the expectations and assumptions on which such forward-looking statements are based are reasonable, undue reliance should not be placed on the forward-looking statements because Goldcana Resources Inc. can give no assurance that they will prove to be correct. Mineralization hosted on adjacent or nearby properties is not necessarily indicative of mineralization hosted on the Company's property.