An investment research firm uses massive amounts of manpower to extract data from complex financial documents and provide their clients with proprietary insights on public companies.

It takes an enormous amount of time and money to dig through tables, multiple languages, various formats and document types, and it’s impossible to scale.

The firm started with financial statements in one long PDF, and had tables without a fixed format encompassing 37 languages.

Read the use case and learn how the Financial Services firm:

• Eliminated manual processing
  
  
• Reduced costs by 63%
  
  
• Created a fully scalable solution
  
  
• Gleaned more insights, faster

Infrrd. Redefine Possible.