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Rebel Fund Unlocked Insights from 650+ Pages of Financial Data

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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.

600+
Pages Processed in Minutes
99%
Accuracy
2 min
Processing Time for Insights
Industry
Location
Document Types
Invofox Solution

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Client overview

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.

The challenge

This project wasn’t just about data extraction. It was about bringing order to over 650 pages of financial records across multiple years, including:

  • Wire transfers
  • Checks
  • eDeposits
  • Multi-year bank statements

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.

The Solution: Invofox Custom Documents

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:

  • SmartSplitting: We broke down the 650+ page PDFs into structured sections based on document type (e.g., bank statements, wire transfers, checks). This prevented loss of context and made processing more efficient.
  • High-Precision Extraction: Once segmented, we extracted key financial details and organized them into structured, searchable datasets.
  • Excel Export: The extracted data was compiled into Excel, allowing Jared’s team to quickly find key transactions and analyze financial patterns in seconds.

The results

  • Delivered structured financial data—ready for analysis—within minutes.
  • Made it easier to identify suspicious transactions and key parties.
  • Enabled Jared’s team to find specific financial data instantly instead of combing through a 650+ page PDF.

Client impact

“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:

  • Automated document splitting – separating large PDFs into organized sections
  • High-accuracy extraction – ensuring every transaction detail was captured
  • Fast, structured searchability – eliminating weeks of manual work

Jared’s chaotic pile of financial records became an AI-powered workflow, turning months of manual effort into minutes.

Why Invofox's Custom Documents?

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!

How do we achieve the excellence?

Extracting high-quality data from documents is crucial, but sometimes basic extraction methods fall short. This is where Invofox comes in as a super-hero to scale up the data verification. The platform automates document processing by combining high-performing AI models, detecting fields further than just parsing documents, and knocking out any regular OCR.

Advanced Processing Solution

Programmatic Rules allow you to go beyond basic extraction capabilities. Define custom rules based on the specific format and structure of your documents. This ensures you capture the exact data points you need, minimizing errors and inconsistencies.

Handling Edge Cases & Complexities

Real-world documents often come with variations and inconsistencies. Define specific logic to understand and process missing fields, variations in formatting, or unexpected data patterns.

Boosting Data Quality Metrics

We significantly improve data quality metrics like precision (extracting only relevant data) and recall (capturing all relevant data). This translates to cleaner, more reliable data sets for your product.

Unlocking Granular Control

Gain complete control over your data extraction process. Define custom logic for exclusive scenarios, ensuring you capture the information that matters most.

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