Starting from €7,500
Our AI-Driven Mineral Exploration Targeting service represents a next-generation, integrated approach to early-stage mineral discovery, combining advanced data science with deep geological expertise.
We leverage artificial intelligence, satellite remote sensing (Sentinel-2 VNIR/SWIR), and multi-source geoscientific datasets to systematically identify, rank, and prioritise high-probability mineralisation targets across both licence-scale and regional exploration areas.
Integrated Data Fusion Approach
Our proprietary workflows integrate multiple exploration datasets into a unified predictive system:
Spectral mineralogical analysis (alteration minerals, oxides, clays, carbonates, sulphides)
Geochemical signatures and element associations
Structural and tectonic interpretation (faults, shear zones, lithological boundaries)
Gas anomaly detection (CH₄, He, CO₂, H₂ as indicators of deep mineralisation systems)
Lithological and stratigraphic modelling
Historical exploration and known occurrence datasets
These datasets are processed using advanced AI models, including ensemble machine learning (Random Forest, Stacking, Bayesian frameworks), enabling identification of complex, non-linear relationships not detectable through conventional exploration methods.
Advanced Targeting & Predictive Modelling
Our approach delivers:
Probability-based mineral prospectivity maps (0–1 scale)
Identification of mineralisation cores and structural controls
Differentiation between oxide, sulphide, and supergene systems
Detection of deep versus near-surface mineralisation zones
Ranking and prioritisation of targets based on confidence levels
This enables a clear transition from regional screening to drill-ready targets, significantly reducing uncertainty at early exploration stages.
3D Geological Intelligence
Where required, the workflow is extended into 3D predictive modelling, including:
Depth-aware inversion of geochemical and gas indicators
Structural-constrained mineralisation modelling
AI-assisted estimation of orebody geometry and depth distribution
Generation of 3D target envelopes for drilling optimisation
Strategic Value
Our service provides measurable advantages:
Reduction of exploration risk through data-driven targeting
Optimisation of capital allocation, focusing on high-priority zones
Acceleration of project timelines, from regional analysis to drilling
Applicability in frontier and underexplored regions
Improved decision-making through quantified probability models
Deliverables
AI-generated mineral prospectivity maps
Ranked list of priority exploration targets
Structural and geological interpretation layers
Optional 3D mineralisation models
GIS-ready outputs (GeoTIFF, KMZ)
Micromine-compatible datasets
Comprehensive technical report included
Pricing Structure
Our pricing reflects the scale, complexity, and analytical depth of each project.
Base Targeting Package
Regional-Scale Advanced Targeting & Modelling
Applicable for large-scale regional studies and complex geological settings. Pricing depends on:
Total area covered
Number of satellite scenes processed
Geological and structural complexity
Depth and level of modelling (including 3D)
Volume and diversity of integrated datasets
This level includes:
Multi-scene satellite processing
Advanced AI-based prospectivity modelling
Regional structural and geological integration
Generation of multiple high-priority target zones
Detailed technical reporting suitable for investment and strategic decision-making
Commercial Note
This is non-standard, high-level technical consulting, combining AI technologies with professional geological expertise.
Each project is customised based on objectives, data availability, and required level of detail. Final pricing is confirmed following scope definition.
Starting from €7,500
Our AI-Driven Mineral Exploration Targeting service represents a next-generation, integrated approach to early-stage mineral discovery, combining advanced data science with deep geological expertise.
We leverage artificial intelligence, satellite remote sensing (Sentinel-2 VNIR/SWIR), and multi-source geoscientific datasets to systematically identify, rank, and prioritise high-probability mineralisation targets across both licence-scale and regional exploration areas.
Integrated Data Fusion Approach
Our proprietary workflows integrate multiple exploration datasets into a unified predictive system:
Spectral mineralogical analysis (alteration minerals, oxides, clays, carbonates, sulphides)
Geochemical signatures and element associations
Structural and tectonic interpretation (faults, shear zones, lithological boundaries)
Gas anomaly detection (CH₄, He, CO₂, H₂ as indicators of deep mineralisation systems)
Lithological and stratigraphic modelling
Historical exploration and known occurrence datasets
These datasets are processed using advanced AI models, including ensemble machine learning (Random Forest, Stacking, Bayesian frameworks), enabling identification of complex, non-linear relationships not detectable through conventional exploration methods.
Advanced Targeting & Predictive Modelling
Our approach delivers:
Probability-based mineral prospectivity maps (0–1 scale)
Identification of mineralisation cores and structural controls
Differentiation between oxide, sulphide, and supergene systems
Detection of deep versus near-surface mineralisation zones
Ranking and prioritisation of targets based on confidence levels
This enables a clear transition from regional screening to drill-ready targets, significantly reducing uncertainty at early exploration stages.
3D Geological Intelligence
Where required, the workflow is extended into 3D predictive modelling, including:
Depth-aware inversion of geochemical and gas indicators
Structural-constrained mineralisation modelling
AI-assisted estimation of orebody geometry and depth distribution
Generation of 3D target envelopes for drilling optimisation
Strategic Value
Our service provides measurable advantages:
Reduction of exploration risk through data-driven targeting
Optimisation of capital allocation, focusing on high-priority zones
Acceleration of project timelines, from regional analysis to drilling
Applicability in frontier and underexplored regions
Improved decision-making through quantified probability models
Deliverables
AI-generated mineral prospectivity maps
Ranked list of priority exploration targets
Structural and geological interpretation layers
Optional 3D mineralisation models
GIS-ready outputs (GeoTIFF, KMZ)
Micromine-compatible datasets
Comprehensive technical report included
Pricing Structure
Our pricing reflects the scale, complexity, and analytical depth of each project.
Base Targeting Package
Regional-Scale Advanced Targeting & Modelling
Applicable for large-scale regional studies and complex geological settings. Pricing depends on:
Total area covered
Number of satellite scenes processed
Geological and structural complexity
Depth and level of modelling (including 3D)
Volume and diversity of integrated datasets
This level includes:
Multi-scene satellite processing
Advanced AI-based prospectivity modelling
Regional structural and geological integration
Generation of multiple high-priority target zones
Detailed technical reporting suitable for investment and strategic decision-making
Commercial Note
This is non-standard, high-level technical consulting, combining AI technologies with professional geological expertise.
Each project is customised based on objectives, data availability, and required level of detail. Final pricing is confirmed following scope definition.
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