Discover how Rebel Fund automated financial data extraction and verification, turning 650+ pages of financial records into structured, searchable data—eliminating manual work and delays.
Jared Heyman, Managing Partner at Rebel Fund, faced a serious challenge: finding specific financial data within years' worth of unstructured records.
Their analysts tested multiple tools, but none worked. The PDFs were too large, too disorganized, and too complex for standard automation. Manually parsing 650+ pages of financial transactions was not an option.
This project wasn’t just about data extraction. It was about bringing order to over 650 pages of financial records across multiple years, including:
650 pages of financial data proved to be too complex for manual processing. Parsing through it by hand would be slow, error-prone, and inefficient
The goal? Extract and structure critical financial details into a streamlined, high-precision dataset optimized for analysis, all with accuracy, searchability, and scalability.
Jared discovered Invofox’s Custom Documents through a Bookface post and reached out. Instead of relying on a one-size-fits-all AI model, we customized our solution to adapt to the structure of financial documents and improve accuracy.
Here’s how we did it:
“Invofox transformed an overwhelming financial data extraction and verification process into an automated, structured workflow—eliminating manual effort and delivering precise, reliable insights for analysis.”
- Jared Heyman of Rebel Fund
With Invofox Custom Documents:
Jared’s chaotic pile of financial records became an AI-powered workflow, turning months of manual effort into minutes.
Invofox successfully handled complex, unstructured financial documents beyond invoices and receipts. Whether for legal cases, financial audits, or regulatory compliance, our Custom Documents solution adapts to any format to deliver precise, scalable results.
Want to see how Invofox can automate your document processing? Let’s talk!