If you're looking for a way to automate credit underwriting by integrating data from multiple financial documents, Ocrolus is a good option. This Document AI platform uses artificial intelligence to classify, extract, detect, and analyze financial documents with high accuracy. It can process a broad range of document types and extract data from bank statements, paystubs, W2s, 1040s and other sources, which makes it a good fit for small business lending, consumer lending and mortgage lending.
Another powerful option is Nova Credit, a credit infrastructure and analytics platform that provides a single interface to access aggregated consumer credit data from a wide range of sources including international credit bureaus, bank data aggregators and payroll systems. The platform includes tools for credit risk assessment based on bank transaction data, automated income verification and fast approval of qualified newcomers to mainstream credit, which makes it a good fit for credit cards, auto loans, personal loans and other products.
You should also consider Perfios. This financial data analysis software uses AI and machine learning to automatically extract, categorize and analyze financial data in real-time. It offers solutions for consumer lending, wealth management, SME lending and credit assessment, with features like real-time analysis, document authenticity checks and fraud detection. Perfios can process multiple financial data formats and has a global presence, making it a good option for financial institutions.
For a more general-purpose approach to document processing and data extraction, ABBYY offers intelligent document processing with AI, NLP and OCR. It automates business processes like accounts payable and customer onboarding with high capture accuracy and complex field extraction, which makes it a good fit for many industries. The platform offers a low-code/no-code environment for citizen developers and industry-specific solutions, so you can get fast and accurate insights to inform business decisions.