Quick Overview
Cognaize deployed an advanced AI-powered financial spreading system for a global financial information company, automating extraction and annotation of data from 500,000+ reports annually (12 million pages). The system supports 30+ templates and multiple languages, achieving 99.9% accuracy, reducing manual verification time by 75%, and making the process 5x faster and 10x cheaper.
Cognaize
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Managing extraction and annotation of large volumes of complex financial documents accurately and efficiently
Key Metrics
\- 99.9% data accuracy\- 75% reduction in manual verification time\- 5x faster processing\- 10x cost reduction
The Problem
Manual data extraction was slow, error-prone, and costly
The Solution
AI-powered multi-template, multi-language financial data extraction and annotation platform with robust accuracy checks and seamless integration
Results
\- Enhanced report reliability and market position\- Significant time and cost savings\- Improved operational efficiency and data quality
“Partnering with Cognaize has been a game-changer for our operations, streamlining complex financial document processing with unmatched accuracy and speed.”
VP, Global Financial Information Company
Details
Industry
Finance & Banking
Departments
Data & Analytics
Use Cases
Financial Reporting
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
AI Tools Used
No items found.
Sources
https://www.cognaize.com/case-studies/ai-based-financial-data-extraction-and-annotationhttps://digitaldefynd.com/IQ/ai-in-finance-case-studies/
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