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 to build solutions for financial service firms because high-tech works best in forward thinking organizations with complicated data environments.
Transform your financial service business with Lymba’s tools:
Powered by K-Extractor™, use CHiPS™ and NL2Query™ to increased precision in the analysis of Investment Research, regulatory compliance, and operational risk assessment. Aggregate textual data from a variety of sources, and uncover insights that were previously inaccessible. Access these insights with a chatbot using HybridQA™
Lymba will help you apply NLP and machine learning in a way that enables you to reduce manual workloads while increasing efficiency.
We can start by understanding your needs and provide a demo.
Jaguar™
Quickly capture key concepts and relations within legal documents, financial reports, transaction records, and other text.
NL2Query™
Democratize access to your Knowledge Graph. Automatically convert an English question into a formal Query to access your knowledge base, eliminating the need for code.
Doc2Graph™
Transform your unstructured data and documents to populate your knowledge graph. Extract named entities and relations to power advanced analytics and Question-Answering.
Chips™
Combine Semantic Search, Ontological Search and Faceted Search to cross reference documents across multiple repositories, allowing you to search by ideas and concepts rather than keyword matches.
HybridQA™
Enhance the quality of knowledge from your data and documents. Integrate the power of K-Extractor™, NL2Query™, and CHiPS™ to ask complicated questions in a conversational format.
Lymba NLP Banking Solutions
Investment Banking
Enhance Investment Analysis & Document Search
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Analyze news articles, press releases, and social media posts to gauge public sentiment towards a company or industry. This information can be used to inform investment decisions, such as buying or selling stocks.
Process large amounts of financial and legal documents to identify potential merger and acquisition opportunities. By analyzing contracts, financial statements, and other documents, Lymba can identify potential synergies and risks, helping equity research teams make more informed decisions.
Regulatory Compliance
Ensure Compliance Through Comparison
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Monitor and analyze large amounts of data, such as customer complaints, audit reports, and regulatory filings, to ensure compliance with regulations. This information can be used to automate compliance reporting, reducing the time and cost of manual reporting.
Quickly study regulatory requirements and identify potential compliance risks. By analyzing regulatory texts and identifying key terms automatically, understand complex regulations and develop risk management strategies more effectively while reducing manual processes.
Operational Risk
Reinforce Risk & Control Monitoring
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Automatically identify potential operational risks by analyzing data from various sources, including customer complaints, employee feedback, and social media. By identifying patterns and correlations in unstructured data, proactively recognize potential operational risks to mitigate before more substantial issues arise.
Analyze operational risk data, including loss events, control failures, and risk assessments. Minimize the manual efforts of searching for trends and patterns, while giving a more robust view of potential risk management strategies.
