Overview

A multi-national advisory firm with operations in over 10 countries faced challenges in gathering structured data from regulatory filings, including SEC 10-K, 10-Q, and 20-F reports. Manual extraction slowed comparative analysis, delayed insights, and hampered timely investment decisions in highly competitive markets.

The firm partnered with FinX to parse and structure regulatory filings, including XBRL/iXBRL formats, while tracking historical changes. The goal was to accelerate data availability, improve accuracy, and enable analysts to perform faster, more reliable financial modeling.

Challenges

• Analysts struggled to manually extract structured data from regulatory filings, delaying equity research and comparative analysis.
• The firm operated across multiple countries, requiring consistent handling of diverse filing formats and standards.
• Historical changes and version tracking were difficult to manage manually, slowing longitudinal analyses.
• Manual processes limited analysts’ capacity to refresh models quickly and maintain competitive insights.
  

Solution

• FinX implemented AI-driven parsing and structuring of regulatory filings, including XBRL/iXBRL documents.
• Historical changes were tracked automatically, enabling longitudinal analysis and version comparison.
• Structured data was delivered rapidly, with up to 300 data points extracted per filing within minutes.
• The workflow automated common regulatory templates, reducing manual effort and ensuring consistency for financial modeling.
  
  

Results

• Data Extraction Speed: Extracted up to 300 structured data points per filing within minutes.
• Efficiency: Sped up equity research preparation by 4×.
• Automation: Delivered 90%+ automation on common regulatory templates.
• Model Refresh: Reduced model-refresh time from 2 hours to 20 minutes.