Replace compliance consultancy
with AI-native intelligence

CatastroIntel is a Peru mining compliance intelligence platform that aggregates data from five Peruvian government sources — INGEMMET, OEFA, MINEM, BEM, and REINFO — and cross-references it against technical report filings across six international exchanges. It produces a scored PDF compliance report for any of 14,500+ Peruvian mining titleholders. It is built specifically for securities counsel, underwriters, royalty companies, and institutional investors who need structured compliance intelligence faster and more affordably than traditional due diligence can provide.

Each report is a 9-page PDF containing: the CIS score (0–100) with full component breakdown, L1 cadastral detail (concession status, OEFA environmental violations, MINEM permitting stage, BEM production history, REINFO operator context), L2 technical report compliance analysis (report recency, exchange tier, QP/CP independence, compliance quality), and AI-generated commentary tailored to your role — securities counsel, underwriter, institutional investor, or royalty company.

Each report reflects the most recent available government data at the time of generation. CatastroIntel refreshes INGEMMET, OEFA, MINEM, BEM, and REINFO data on a regular cycle aligned with each source's own publication schedule — the data date is disclosed in every report. For active transactions, we recommend re-running the report at material milestones rather than relying on a single historical output. CatastroIntel is designed to be the first structured screen, not the final word — it identifies what requires deeper review so your counsel or technical advisors can focus where it matters.

CatastroIntel reports are structured screening and prioritization tools — they do not constitute legal advice, a legal opinion on title or liability, or an investment recommendation. They are designed to be used alongside legal counsel, independent technical review, and on-the-ground due diligence. What they do is accelerate that work: identifying which concessions to examine, which OEFA flags are material, which technical reports are stale, and which disclosures warrant further scrutiny — before you engage specialists.

All data is sourced directly from official government records and exchange regulatory repositories — no third-party data vendors. Peruvian government sources: INGEMMET/GEOCATMIN (35,000+ concession records), OEFA (environmental enforcement records for every registered operator), MINEM (67 cartera projects), BEM (production statistics), and REINFO (87,334 small-scale and artisanal operator records). Exchange filings are fetched directly from SEDAR+ (TSX/TSX-V), SEC EDGAR (NYSE), ASX Portal, LSE, HKEx, and BVL Lima.

A single compliance report is $495. New members can access their first report for $249 under a limited introductory offer. Subscription plans for ongoing coverage — portfolio screening, monitoring across multiple companies, or multi-user team access — are available separately. Contact us for subscription pricing. For context: bespoke mining due diligence engagements typically cost $30,000–$200,000 per target. CatastroIntel delivers the structured intelligence layer in moments at a fraction of that cost.

Every report includes AI-generated commentary that translates the raw CIS data into the analytical frame of your role. The underlying score and data are identical — what changes is interpretive emphasis. Securities counsel receive disclosure risk and liability framing (material non-disclosure flags, QP independence signals, concession status accuracy). Underwriters receive deal structuring and risk-return analysis. Institutional investors receive portfolio-level compliance posture and ESG-relevant flags. Royalty companies receive asset-level cash flow and concession longevity analysis. Select the role that matches your primary use case; the score itself is the same regardless.

Catastrophe theory is a mathematical framework developed by René Thom that models systems exhibiting sudden, discontinuous state changes after gradual parameter drift. Mining operations are a textbook application: years of acceptable compliance → single enforcement event → license void, trading halt, royalty stream detonated. Linear models (every competitor) see score at t-1 and score at t. They cannot predict discontinuous events. CatastroIntel's catastrophe engine models the underlying control surface — fold lines, cusp points, parameter combinations that produce discontinuous jumps. We don't say "score dropped." We say: "this operator's trajectory places them in a bifurcation zone — the next enforcement cycle has elevated probability of producing a discontinuous outcome."

Bifurcation risk measures how close an operator sits to the catastrophe manifold — the mathematical boundary where equilibrium states become unstable and small parameter changes trigger discontinuous outcomes. Our cusp catastrophe model uses two control parameters: OEFA enforcement intensity (x-axis) and CIS score (y-axis). The fold curve (x = -0.5y²) defines the bifurcation boundary. Operators on or near this curve face elevated risk of sudden state change. We calculate fold line distance for every operator and track 6-month trajectories through the control parameter space. Real example: Nexa Resources has fold distance 0.534 (STABLE). Buenaventura has fold distance 0.000 (BIFURCATION — literally on the fold line). Same CIS framework, different risk topology.

Traditional scoring tools are linear: a company at 72/100 is assumed marginally better than one at 68/100. But compliance collapse is nonlinear — operators at identical scores can face radically different risk profiles depending on their position in control parameter space. The catastrophe engine adds a predictive layer: it models not just where an operator is, but whether they're in a stable equilibrium basin or approaching a critical threshold. It also incorporates precursor signature detection — patterns trained on historical catastrophe events (Bear Creek Puno 2011, Doe Run La Oroya 2009) that signal elevated discontinuous risk before traditional metrics degrade. As our temporal dataset grows, the engine learns which parameter trajectories precede collapse events. That is not a compliance tool. That is a risk prediction engine. The moat compounds: every week of score history is data a competitor starting today cannot have.

Yes. CatastroIntel covers all 14,500+ Peruvian mining titleholders in the INGEMMET cadastre — listed and unlisted. For companies without international exchange filings, the L2 (technical report compliance) score will be lower by design, reflecting the absence of filed disclosures. This is disclosed in every report. For BVL-only filers, a structural 60-point ceiling applies to L2 to reflect the exchange's less standardized disclosure requirements. L1 (cadastral and environmental data) and catastrophe theory analysis are available for all companies regardless of listing status.