Problem

Fund managers in the fintech industry face challenges in managing and tracking capital, distribution, and management calls, primarily due to the manual extraction of information from PDF documents. This process is time-consuming and prone to errors.

Solution

Mastork developed an Intelligent Document Processing solution using a machine learning (ML) pipeline trained on financial documents. This system employs natural language processing (NLP) models to automatically extract relevant information from PDFs, highlight critical data, and allow for manual review if necessary. The extracted information is then saved into a database for easy access and analysis.

Conclusion

This intelligent solution has transformed the way financial data is managed and processed. By automating the extraction and entry of critical information, it has saved significant time, reduced errors, and improved the overall efficiency of financial processes for fund managers.