Consulting and training for organisations that need defensible resource models, ranked exploration targets, geometallurgical insight, auditable metal accounting and practical AI-enabled workflows.
Each capability links to a detailed page section that explains what is delivered, what changes for the client and how to start a conversation.
Independent support for geological domaining, data validation, estimation strategy, block-model review, classification and reconciliation.
Learn moreConversion of geological, structural, geochemical, geophysical and spatial datasets into coherent domains and interpretable models.
Learn moreExploration strategy, data integration, prospectivity mapping and target ranking for greenfield, brownfield and critical-minerals programmes.
Learn moreDesign and review of AI workflows for mineral prospectivity, geochemistry, remote sensing, anomaly detection and ranked exploration decisions.
Learn moreIntegration of geology, mineralogy, metallurgy and processing data to predict ore behaviour and support planning, blending and value optimisation.
Learn moreAudit and improvement of metal-accounting systems, reconciliation chains, data controls, mass-balance logic and reporting governance.
Learn moreStatistical, machine-learning and Python-based analytics for laboratory, pilot and plant datasets in extractive metallurgy.
Learn moreTracing value, uncertainty and information loss from resource model to grade control, mining, processing and metal accounting.
Learn moreTechnical and strategic advisory for critical minerals, beneficiation, corridor development, mineral economics and African mining policy.
Learn moreIndependent review of technical assumptions, datasets, resource models, studies, reports and disputed technical interpretations.
Learn moreThe website is organised like a professional advisory platform: clear capabilities, industry-relevant use cases, client outcomes, insights, training pathways and a brief-submission workflow.
The emphasis is not generic digital transformation. It is orebody knowledge, technical credibility, decision quality and measurable improvement.
Audit datasets, workflows, assumptions, controls and decision points.
Build or review geological, resource, geometallurgical, AI and reconciliation models.
Test uncertainty, defensibility, explainability, auditability and operational relevance.
Train teams and document workflows so that capability remains with the client.
Programmes can be delivered as executive masterclasses, in-house corporate courses, public workshops or dataset-based bootcamps.
Participants learn how to design, evaluate and communicate AI workflows that remain geologically meaningful.
View course detailsParticipants learn practical AI and statistical workflows for plant diagnostics, testwork interpretation and process optimisation.
View course detailsParticipants learn how to turn orebody knowledge into practical models for planning, processing and value management.
View course detailsParticipants gain a step-by-step understanding of mineral-resource estimation and model defensibility.
View course detailsParticipants learn geostatistics as a practical decision-support discipline rather than a purely mathematical subject.
View course detailsParticipants learn how to move from scattered datasets to transparent, ranked and defensible exploration targets.
View course detailsSubmit a short project brief. The contact form opens a pre-filled email draft addressed to glen.nwaila@outlook.com.