The most complete and technically deep commercially available repository of structured mining project data. Thirty years of technical reports, financials, market activity, and industry sentiment — structured, cross-referenced, and ready to query.
20,000+ technical reports from international mining projects at every development stage. Resource estimates, estimation methodologies, modeling parameters, and project economics — extracted, validated, and cross-referenced.
Probabilistic analysis across three decades of project outcomes. How estimation methods, management teams, and technical choices correlate with project success — validated against production data.
Deep analysis across financial media, forums, and multimedia platforms. How market narratives form, when they diverge from technical fundamentals, and which catalysts drive rerating events across commodity cycles.
Comparative analysis across peer projects by commodity, jurisdiction, deposit type, and development stage. Capital intensity, dilution history, resource conversion rates, and operating metrics.
Pattern recognition across decades of project milestone data. Which technical and corporate events precede material rerating, and which projects are approaching inflection points based on historical analogs.
Performance histories across people, not just companies. Geological teams, qualified persons, and management groups tracked across every project they've touched and every report they've signed.
Ultra-specific, highly technical queries across the full depth of the dataset.
Which projects pattern-match with historic acquisition targets based on resource quality, jurisdiction, and development stage?
Which major producers, based on current reserve life and exploration portfolio, are approaching acquisition windows in the next 3–5 years?
What technical choices made during PEA through feasibility phases most affect underlying project IRR?
How do published resource estimates hold up against actual production metrics once a mine enters operation?
Which QPs and consulting firms have the strongest track record of estimates that survive feasibility scrutiny?
Which explorers advanced from Inferred to Indicated resources in the last 3 years with drill intercepts exceeding specified grade-width thresholds?
Rank all lithium pegmatite projects with published PEAs by NPV per tonne, capex intensity, and proximity to downstream processing.
Which companies had material resource estimate upgrades but haven't seen corresponding share price movement?
These are real queries the platform handles — and there are thousands more.
Access institutional-grade technical analysis at accessible price points. Structured data and research tools that inform investment decisions with the technical depth they deserve.
Screen the full mining project universe for technical quality. Backtest estimation methodology against historical outcomes. Identify acquisition targets and catalyst events programmatically.
Benchmark resource estimation practices against peers. Track how the market responds to technical milestones. Data-driven context for corporate strategy and investor communications.
Integrate structured mining project data via API and MCP server. Add geological and technical intelligence to existing platforms and LLM workflows.
Institutional research depth at accessible price points.
Trends and patterns from ongoing structured analysis. Updated regularly.
Analysis across thousands of resource estimates reveals significant variation in kriging parameters and block model assumptions by deposit type. Certain methodological approaches systematically produce more conservative or aggressive outcomes. Methodology choice correlates with the magnitude of resource revisions in subsequent project stages.
Reserve life data cross-referenced with exploration spending identifies a growing cohort of mid-tier producers whose organic pipelines are not keeping pace with depletion. Historical patterns show acquisition activity accelerating 18–24 months before reserve life reaches critical thresholds.
Mention frequency across forums and social platforms tracked against subsequent trading activity. Rapid acceleration in discussion — particularly from technically sophisticated accounts — precedes significant price movement by a median of several trading days for listed explorers.
Comparative analysis across recent lithium and nickel feasibility studies shows compression in capital intensity per annual tonne of production. Whether this reflects engineering improvement or systematic cost optimism is precisely the question backtesting frameworks are designed to answer.
Validated, transparent methodology. Investment decisions require precision, not approximation.
Resource models, project economics, estimation methodologies, and modeling parameters. The geology is the foundation of every analysis.
Three decades of historical depth. Active, delisted, and defunct companies alike. Maximum completeness and bias removal — because the full picture is the only picture worth analyzing.
Better data improves capital allocation across the industry. Transparency leads to better outcomes for investors, projects, and communities.
MineSignal AI is in private beta. Request access to join the first cohort of analysts, funds, and geological teams working with the deepest structured mining project dataset commercially available.