Cognaize enables financial institutions to tackle the inefficiencies of processing unstructured data in ESG reports, credit agreements, and trustee documents. Traditional methods struggle with manual workflows and data inaccuracies, hindering operational efficiency and decision-making.

By integrating Generative AI with precise domain-specific models, Cognaize addresses this challenge with its Enterprise Knowledge Platform. For instance, in a U.S. bank’s credit agreement processing, Cognaize reduced manual data extraction by automating the validation of restricted cash classifications. This streamlined compliance with internal policies and ensured audit-ready outputs.

The platform employs fine-tuned language models to interpret complex document layouts and combines machine learning with symbolic reasoning for accurate validation and data lineage. With privacy-focused deployments, Cognaize offers scalable solutions tailored for financial institutions’ regulatory and operational needs, addressing challenges like explainability and data privacy actively.

This approach achieved a 66% reduction in costs and a 150% increase in data processing capacity for the institution, solving real-world inefficiencies and improving outcomes.