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Extract KPIs from Global Filings

Find relevant company documents globally and transform them into normalized, backtesting-ready datasets. SEC filings, international annual reports, investor presentations, PDFs, and more.
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The challenge

A quantitative fund needed to extract operational production data from SEC filings, international annual reports, quarterly production updates, and investor presentations across dozens of commodity producers globally. The data was buried in unstructured tables with ambiguous labels, and inconsistent naming conventions across companies and jurisdictions.

How Kadoa solves it

Automated extraction from EDGAR, company IR pages, and international filings
AI-powered normalization of inconsistent labels across companies
Dynamic schema adapts to changing report formats over time
Unified data dictionary maps synonyms and resolves ambiguities
Historical backfill across 5+ years of quarterly and annual reports
Data standardization
95% automated
vs. manual mapping
Data prep time
85% reduction
Across all filing types
Time to insight
Minutes
Per filing, down from hours
Kadoa
Scrape dataMonitor
Source

SEC EDGAR

International Reports

Company PDFs

Investor Relations

Actions

Extract

Normalize

Validate

Destinations

PostgreSQL

S3 / CSV

Research Models

Extracted data
CompanyOperationCommodityMetricValuePeriod
NewmontBoddingtonGoldProduction (koz)288Q1 2026
Barrick GoldNevada Gold MinesGoldProduction (koz)462Q1 2026
Agnico EagleCanadian MalarticGoldProduction (koz)217Q1 2026
Pan American SilverLa ColoradaSilverProduction (Moz)4.8Q4 2025
First Majestic SilverSan DimasSilverProduction (Moz)3.1Q1 2026
"The in-house sourcing of this data has been more complex than all imagined. Kadoa handles the fast and accurate extraction and normalization with global coverage."
— Head of Quantitative Research, Systematic Fund

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