Our AI-driven methodology identifies high-probability targets across the spectrum of minerals essential for decarbonization. From copper and lithium to rare earth elements, we're mapping the resources that will power the clean energy future.
In 2024, Aserela's exploration methodology achieved its most significant validation to date.
Our algorithms identified a massive high-grade copper-cobalt deposit in the Democratic Republic of Congo. The deposit, located beneath terrain explored and dismissed by multiple previous campaigns, represents one of the largest copper discoveries in three decades.
The discovery validates our core thesis: that AI-driven analysis of integrated geological data can identify mineralization signatures invisible to traditional methods. Previous exploration had focused on surface geochemistry and conventional geophysical interpretation. Our models detected a deeper convergence of alteration patterns, structural controls, and geophysical anomalies that indicated high mineralization probability.
Subsequent drilling confirmed a world-class sediment-hosted copper-cobalt deposit with grades significantly above regional averages. The deposit is expected to contribute meaningfully to global copper supply for decades.
Each clean energy technology requires specific mineral inputs. Our platform supports exploration across all critical commodities.
The metal of electrification. Electric vehicles require 2-4x more copper than conventional vehicles. Wind turbines need 3-5 tonnes per megawatt. Grid infrastructure, charging stations, and electrical wiring all depend on copper.
Primary deposit types: Porphyry copper, sediment-hosted stratiform, volcanic-hosted massive sulfide (VHMS)
Essential for battery cathodes in EVs and grid storage. Demand is projected to increase 40x by 2040. Deposits occur as hard rock pegmatites or in lithium-bearing brines beneath salt flats.
Primary deposit types: Spodumene pegmatites, salar brines, clay-hosted sedimentary lithium
Critical for high-energy-density battery cathodes. Class 1 nickel for batteries requires specific ore types and processing. Laterite and sulfide deposits occur in distinct geological settings.
Primary deposit types: Magmatic Ni-Cu sulfide, laterite, komatiite-hosted
Stabilizes battery cathode chemistry and extends cycle life. Over 70% of current production comes from the DRC, creating supply chain concentration risk. New deposits are needed globally.
Primary deposit types: Sediment-hosted Cu-Co (DRC-Zambian Copperbelt), magmatic Ni-Co sulfide
Neodymium and praseodymium are essential for permanent magnets in EV motors and wind turbines. Heavy rare earths like dysprosium enable high-temperature magnet performance.
Primary deposit types: Carbonatite-hosted, ion adsorption clays, heavy mineral sands
Forms the anode in lithium-ion batteries. Battery-grade flake graphite requires specific crystallinity and purity. Natural graphite deposits occur in metamorphic terranes.
Primary deposit types: Flake graphite in metamorphic rocks, vein graphite
Our platform provides comprehensive data coverage across the world's most prospective geological terranes.
DRC and Zambia host the world's premier sediment-hosted copper-cobalt deposits. We've integrated historical drilling, geophysical surveys, and structural mapping to identify untapped mineralization potential.
Focus: Cu, Co
Argentina, Bolivia, and Chile contain over half of global lithium resources. Our platform maps subsurface brine chemistry and basin architecture to identify optimal extraction targets.
Focus: Li, K
The Pilbara and Yilgarn cratons host world-class nickel sulfide and lithium pegmatite deposits. We've digitized decades of government survey data and exploration records.
Focus: Li, Ni, REE
The porphyry copper belt extending from Chile through the western Americas hosts major copper-gold deposits. Our models identify targets in underexplored segments of this prolific mineral belt.
Focus: Cu, Au, Mo
The Precambrian basement of Sweden, Finland, and Norway hosts nickel-copper-PGE deposits and emerging battery mineral potential. ESG-conscious supply chains favor Nordic sourcing.
Focus: Ni, Cu, Co, REE
Indonesia and the Philippines contain massive lateritic nickel resources. We map laterite thickness, mineralogy, and grade distribution to optimize resource extraction strategies.
Focus: Ni, Co
Our work advances the application of machine learning to geological sciences through peer-reviewed research and technical publications.
We publish methodological advances and case studies demonstrating the efficacy of AI-driven exploration. Our research collaborations with academic institutions and government geological surveys contribute to the broader understanding of how computational methods can accelerate mineral discovery.
Whether you're exploring greenfield territories or evaluating brownfield assets, our platform delivers intelligence that transforms exploration outcomes.