Case Study: a leading fast-growing financial services firm achieves 87% more daily applications processed with teX.ai

Leading Fast - Growing Firm - Customer Case Study

The client, a leading fast-growing firm in the financial services sector, needed to process thousands of bank statements for KYC verification but was dissatisfied with the accuracy of its existing text extraction tools. The challenge involved extracting specific, variable data from both scanned and digital PDFs from over 200 different banks. teX.ai was engaged to build a custom text extraction solution to overcome these obstacles.

tex.ai implemented a solution that used deep learning for table detection and a combined LSTM-CRF model to extract text from both tables and peripheral areas of the documents. This approach achieved close to 90% accuracy and reduced the processing time per file to under a minute. The implementation by teX.ai enabled the client to increase the number of applications processed daily by 87%, dramatically improving operational efficiency.