Lymba Banking
Solutions

Empowering big data for Banking

Data in banks are more complicated than the structured, numerical, and transactional types of data that inundate your workday. Unstructured data can be leveraged for new insights or to enrich your structured databases.

Lymba provides its enterprise-level natural language processing software products to build solutions for financial service organization because high-tech works best in forward thinking organizations with complicated data environments.

Transform your financial service business functions through:

Semantic search of Investment Research. Structure the data from your equity research and other related reports, enabling your researchers and analysts to ask nuanced questions of data.
Comparative natural language processing within Regulatory Compliance analysis. Identify critical contracts and potential violations with regulations through semantic search.
Better identify threats and causes through deep learning and NLP for your Operational Risk cybersecurity assessments.

Lymba was able to help Morgan Stanley utilize their graph database by leveraging ontologies to help answer domain specific questions, develop classification recommendations, and deliver a quality search for their internal users.

Lymba will help you apply natural language processing and enable machine learning for business functions in Investment Research, Regulatory Compliance, and Operational Risk.

We can start with a free consultation to understand your opportunities and provide a demo.