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Connected intelligence
Dozens of data domains — from resource estimates and production to logistics, power, safety, contracts, and personnel — cross-linked at site, company, and commodity level.
Mine Intel binds an expanding network of mining data domains — production, costs, ownership, deals, studies, infrastructure, people — into one provenance-tracked intelligence layer. Continuous ingestion. Analyst-verified depth. Correlations no one else can surface.
§01 · THE PROBLEM
Thousands of announcements, technical reports, and operational updates every week — spread across exchanges, company pages, government filings, and appendices buried deep in 400-page technical documents. No single platform captures it all.
Legacy databases refresh quarterly. By the time data hits your screen, the signal is months old. The connections that matter most — production shifts against ownership changes against capital decisions — stay invisible, locked in silos that never talk to each other.
Your choice today is to pay six-figure subscriptions for dated interfaces, or to staff your own analyst team to piece it together by hand. Either way, the connections you actually need are still missing.
Months-old refresh cycles in markets that move in weeks.
Production, ownership, costs, deals — separate stacks, separate logins, no joins.
Six-figure annual contracts before you've seen a useful query.
§02 · THE PLATFORM
Mine Intel ingests raw mining content — web pages, technical reports, exchange filings, operational disclosures — and turns it into deeply linked, queryable, analytics-ready data. That's the floor.
The product is what sits on top: exclusive analysis drawn from a connected intelligence architecture that links dozens of data domains through entity-resolved relationships. Production tied to costs. Costs tied to ownership. Ownership tied to transactions. Transactions tied to studies. When everything is connected, patterns surface that siloed databases simply cannot reveal.
Dozens of data domains — from resource estimates and production to logistics, power, safety, contracts, and personnel — cross-linked at site, company, and commodity level.
Autonomous collection nodes process thousands of sources in near real time. No quarterly lag. Sub-weekly latency from publication to structured, joined record.
Every data point carries a full audit trail: source document → parsed content → structured field → confidence score. Traceable. Auditable. Defensible.
§03 · CONNECTED INTELLIGENCE
Below are three illustrative examples of the kind of cross-domain signal our engine surfaces — drawn from the same provenance-tracked layer that powers our dashboards, reports, and on-demand work.
A Tier-2 producer in the Andean belt is trading on EV/EBITDA roughly 22% below the peer cluster matched on grade, jurisdiction, and stage — driven by a published cost curve that hasn't yet absorbed the last two quarters of unit-cost compression.
Three of the same five sovereign-linked vehicles increased exposure across four hard-rock lithium developers in the last 90 days, while concurrently exiting two brine-stage juniors. Cross-chemistry rotation, not a single-name story.
Six West African nickel projects have closed DFS-stage milestones in under 14 months, with capital deployment and long-lead-item contracts now tracking the same pattern observed before the 2021–22 cohort moved to construction.
// these are representative illustrations of the architecture's output, not live recommendations.
§04 · UNDER THE HOOD
Five orchestrated stages, each operating as an independent node with its own validation and failure recovery. Public sources and proprietary analyst intel enter the same engine. What comes out is a connected, verified intelligence layer.
Autonomous crawling nodes scan thousands of mining-sector sources — company pages, exchange filings, technical documents, regulatory disclosures. New sources are discovered and added automatically.
A network of connected industry analysts injects non-public intelligence — operational insights, deal activity, personnel moves, off-market transactions — directly into the same structured pipeline.
Content is classified across dozens of mining-domain categories and structured into discrete fields — tonnages, grades, costs, dates, ownership %, deal values — with per-field confidence scoring.
Raw names resolve to canonical companies, sites, and individuals through alias matching and cross-reference linking. High-confidence data ships. Uncertain extractions route to analyst review. Nothing enters unchecked.
Validated intelligence ships through the Mine Intel dashboard, periodic market reports, and REST API endpoints. Cross-domain analysis, asset screening, and trend monitoring — all built from the same provenance-tracked layer.
“Automated scale surfaces what manual teams can't process in time. Analyst depth catches what purely automated systems will always miss. Together, they're the edge.
§05 · COVERAGE
Most platforms hand you production data, or financial data, or transaction data, in isolation. Mine Intel binds all of them — and dozens more — into a single relational structure where every entity connects to every other.
core operational
corporate & financial
market & commodity
strategic & development
regulatory & ESG
geological foundation
And expanding. Every new domain is automatically cross-linked to every existing one — analytical depth compounds with each class added.
§06 · BUILT FOR
Screen the global mining universe systematically. Track corporate events, financings, and deal flow with full provenance from announcement to completion.
Monitor competitors, benchmark costs, track regional developments, and identify acquisition targets — with freshness measured in days, not quarters.
Replace manual document review with structured monitoring. Build reports and recurring analysis from data with full source citations.
Systematic screening across commodities, jurisdictions, and stages. Cross-reference production with ownership shifts and capital flows.
Strategic mineral tracking, market studies, and supply-chain mapping for policy and investment decisions.
API-first architecture. Pull structured mining data directly into your models, dashboards, and workflows with full provenance metadata.
§07 · WHY MINE INTEL
The incumbents have decades of data — we respect that. They also carry decades of technical debt, siloed architectures, and pricing models designed for a different era. Mine Intel was built from the ground up for how mining intelligence should work today: connected, traceable, continuously updated, and priced for the teams that actually need it.
§08 · OUR TEAM
Mine Intel was built by people who've worked both sides of the intelligence divide — the mining executives who buy these platforms, and the analysts who build them.
Our leadership includes operators from billion-dollar mining operations, former principals at leading commodity intelligence firms, and senior engineers from global technology companies. We've built cost curves and supply models for the world's largest battery-materials consultancies. We've architected data platforms serving millions of users.
Behind the platform sits a network of expert commodity analysts, investment bankers, mining engineers, and geologists who feed non-public intelligence into the pipeline — and validate what comes out the other side.
We didn't build Mine Intel because the industry needed another database. We built it because we kept looking for the connections no one else was tracking.
§09 · GET IN TOUCH
Mine Intel works with mining companies, funds, banks, and advisory firms who need institutional-grade depth without the institutional-grade price tag. If that's your team, let's talk.
enterprise & team licensing available · custom packages on request