SMCG

End-to-end data stewardship: design, automation, and governance (not day-to-day DB admin)

• Architecture & standardization of drill, geochem, geophysics, mapping
• Migration planning & scoped imports (MX Deposit expertise)
• Validation rules & QA/QC pipelines built into workflows
• Automated reports & dashboard visualizations for decision-makers
• Reusable automation (exports, checks, notifications) to reduce manual effort

Note: We scope migrations carefully to avoid runaway effort; focus is on robust design & automation so your team scales smoothly.

Hybrid ML + Mineral Systems to rank targets with explainability

• Feature engineering from structure, physics, geochem, proximity
• Modeling with validation & feature importance for transparency
• Scope dependant target ranking, uncertainty bands, and drill-ready shortlists

Find meaningful geochemical/geophysical anomalies and patterns—cleanly and reproducibly

• Outlier & cluster detection across multi-element datasets
• Time-/campaign-aware comparisons to confirm persistence
• QA checks to separate signal from noise and lab/processing artefacts
• Clear maps & interval summaries highlighting follow-up areas

Turn large volumes of reports and literature into usable insight

• Consolidate historical reports, memos, assessments, and open sources
• Extract key facts: geology, structures, ages, mineralization, and locations
• Surface relationships & themes to inform targeting and due diligence
• Deliver searchable summaries, source links, and executive-level briefs

Exploration is full of one-off problems that data can help solve. We build tailored workflows when standard tools don’t fit.

• Custom data pipelines & automation
• Experimental ML/AI workflows for unique datasets
• Prototype dashboards & decision-support apps
• Collaborative R&D at reduced rates when outcomes benefit both sides

Ideal for early-stage, high-uncertainty challenges where innovation is part of the value.

Exploration Data System (MX Deposit–Centric)

• Standardized drill, geochem, geophysics, and mapping into one schema
• Built validation rules and automated checks (interval overlaps, assay ranges)
• Set up one-click exports and a lightweight dashboard for reporting

Outcome: ~60% less data prep; clean, repeatable datasets for analysis and ML.

Prospectivity & Target Ranking

• Combined structure, geophysics, geochem, and proximity indicators
• Produced transparent rankings with feature importance and uncertainty bands
• Delivered drill-ready shortlists with clear follow-up rationale

Outcome: 8 high-priority targets identified; informed the next field program.

Anomaly Detection & Trend Analysis

• Flagged meaningful multi-element anomalies across campaigns
• Separated signal from lab/processing artefacts with QA checks
• Summarized trends on maps and interval tables for follow-up

Outcome: New trend surfaced; supported trenching and sample planning.

Text & Knowledge Mining (District Synthesis)

• Pulled insights from historical reports, assessments, and open sources
• Extracted geology, structure, age, mineralization, and location facts
• Delivered searchable summaries with source links and a brief for decision-makers

Outcome: Faster desktop study; clearer inputs for targeting and due diligence.

Bespoke Solution (R&D Collaboration)

• Custom pipeline to automate repeat tasks and notifications
• Pilot ML workflow on a unique dataset to test feasibility
• Prototype dashboard for rapid review by geologists and managers

Outcome: De-risked a new approach; reduced manual effort. Reduced rates available for R&D-adjacent work with shared learnings.