Unlocking Morocco's Metal Frontier
Blending AI and geoscience, we fast-track the search for materials driving the ecological transition across Morocco's mineral corridors.
Mining in Morocco
A key contributor to the global supply of critical minerals — Morocco couples geological diversity with world-class infrastructure and policy frameworks that attract sustainable exploration investment.
Ranked first in Africa for mining investment attractiveness (Fraser Institute, 2024). Stable governance, advanced geology, and renewable power integration position Morocco as the continent's safest exploration environment.
Morocco hosts over 70 metallic deposits — including cobalt, copper, silver, manganese, and rare earths — concentrated along the Anti-Atlas, Saghro, and Rif belts.
Morocco's deep-water ports (Tanger Med, Safi) and renewable power targets (52% by 2030) support low-carbon mineral supply chains into European gigafactories.
Source: Fraser Institute Mining Investment Attractiveness Index, 2024
Market Signals
Mirage Exploration aligns its focus with the world's fastest-growing materials for the energy transition. From cobalt batteries to copper grids, each mineral we target supports decarbonised infrastructure.
Demand for cobalt is expected to double from 190,000 tonnes in 2023 to nearly 390,000 tonnes by 2030 (IEA). Used primarily in EV and grid-scale batteries, cobalt ensures stability and energy density in lithium-ion cathodes.
Source: International Energy Agency (IEA), McKinsey Energy Insights, Benchmark Mineral Intelligence
The AI Approach
Mirage's exploration engine fuses multi-source inputs into a continuously updating prospectivity model. Scroll the workflow to see the field-to-cloud loop that powers our discovery pace.
Mirage's models transform multi-source geological, geochemical, and remote sensing data into predictive feature vectors used to prioritise drill-ready targets.
ONHYM databases, government archives, and ASTER, Sentinel, and Landsat feeds collapse into a governed lake.
Multi-source aeromagnetism, conductivity, gravity, seismic, and geochemistry data combined with structural and geological studies computed for every kilometre cell.
Prospectivity grids weight evidence layers to prioritise drill-ready km² tiles.
Supervised models recognise proven signatures while unsupervised clustering reveals unknown anomalies.
UAV, geochemistry, and mapping campaigns create on-field feedback loops that validate or confirm model predictions.
Known mineral systems reinforce the models while anomaly-centric discovery flags emerging targets for field validation.
Generative Geoscience Stack
Mirage orchestrates a vertical data stack: historical intelligence, satellite refresh, generative modelling, and actionable prospectivity outputs tightly coupled with geologist review.
Digitized ONHYM and BRGM reports, drill logs, and artisanal mining records, combined with geophysical, geochemical, and lithological data.
ASTER, Sentinel-1/2, Landsat feeds refreshed for each modelling pass.
The model is trained on POCs to recognize known mineral signatures through supervised learning, while also identifying previously unknown anomalies using unsupervised methods.
Dynamic heatmaps that guide drilling, ESG, and capital allocation decisions.
Mineral Focus
Mirage's models learn Morocco's metallogenic DNA, surfacing the next cobalt, copper, zinc, and silver targets with quantified confidence and ESG context.
Bou Azzer style cobalt-copper veins anchor supervised labels and transfer signatures into under-sampled belts.
Stratabound and structural copper systems are modelled with elevation, alteration, and fluid pathway features.
Prospective zinc lenses emerge where structure and geochemistry intersect across Anti-Atlas sediments.
Silver-bearing quartz veins such as Imiter and Zgounder drive anomaly detection for precious metal extensions.
Energy transition demand aligns cobalt, copper, zinc, and silver into critical supply priorities.
Solar, wind, and grid storage projects depend on these metals.
Mirage targets low-carbon extraction routes across Morocco.
ESG & Sustainability
Mirage pairs AI-driven efficiency with environmental stewardship, targeting low-carbon field programs and transparent governance across every Moroccan district we engage. By using predictive models to pinpoint high-probability targets, our approach reduces unnecessary drilling, minimizes land disturbance, optimizes water and energy use, and promotes data-driven, responsible exploration that preserves ecosystems while accelerating discovery.
Get In Touch
Connect with our team to discuss partnerships, data access, or investment opportunities in AI-driven mineral exploration.
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