The Infolytx team had recently launched its Deep Vision™ and Text Miner™ Accelerators which combined could solve the company’s problem. Led by the Infolytx CTO, the team rapidly architected a solution and API service. Machine and Deep Learning models were developed to determine whether submitted paper document images were authentic bank statements. Next, the Infolytx Text Miner™ Accelerator and Natural Language Processing capabilities were applied to extract and infer relevant information from the text even when the incoming sources were poorly scanned or photographed documents. The information extraction included applicant’s names, bank names, addresses and postal codes, as well as tabular extraction of transaction data. Additional information was inferred, such as the existence and amount of installment loans, salary data, and other transaction-related information.
