Insurance

Lymba’s NLP solutions streamline your text-centric bottlenecks by transforming the data into actionable knowledge. Unstructured data can be readily understood without manual intervention in an automated industry.

Insurance is driven to get the right rate and to manage the cost under it. In this competitive environment, alleviating areas of manual intervention are critical to separate ourselves from peers in the industry. The problem is much of this data is text-centric, which means it is unstructured.

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We provide an automated and intelligent way to extract and search key client profile information such as:

  • Search engines, social media websites, and data vendors from external sources and internal document sources

  • Classify text data in emails, chats, and support questions.

Lymba will help you apply natural language processing and enable machine learning for business functions in Underwriting, Claim Processing, Knowledge Governance, and Mine Customer Sentiment.

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

Lymba NLP Insurance Solutions

Underwriting

Ascertain Risk Assessments Through Data Extraction

Underwriting

NLP Use Cases

Build increased visibility into your unstructured and structured data on consumer risk

Ontology Builder

Build linguistic and lexical connections in your data tailored to your needs using firm specific lexicons and taxonomies

Doc2RDF

Break down your documents in a way that machines can understand, so that you may immediately access them in a Knowledge Graph

NL2Query™

Allow non-technical SMEs to query Knowledge Graphs in English. Let NL2Query convert your questions to SPARQL find the answers you need to mitigate risk

Integration & Professional Services

Let us craft a solution bespoke to you

Knowledge Governance

Optimize Data Quality For Your Business Analysts

Knowledge Governance

NLP Use Cases

Automatically classify text documents and emails which you can then query or visualize analytics

Ontology Builder

Build linguistic and lexical connections in your data using domain specific knowledge

Doc2RDF

Pull in unstructured documents including customer spending reports, internal memos, and risk analysis to visualize in a Knowledge Graph

NL2Query™

Ask for answers in English and let the machine give you answers based on meaning instead of keywords

Integration & Professional Services

Design a big data and knowledge base implementation that works for your business

Claim Processing

Maximize Your Processing Workflow Productivity

Claim Processing

NLP Use Cases

Automatically process claims, analyze policies, accident reports and more

Ontology Builder

Teach the system how to read your company specific vocabulary by building linguistic and lexical connections in an ontology

Doc2RDF

Pull in unstructured documents including customer insurance policies, insurance claims, and accident reports to visualize connections in a Knowledge Graph

NL2Query™

Allow non-technical users to ask questions of your data in English and let NL2Query convert your question to SPARQL

Integration & Professional Services

Design a big data and knowledge base implementation tailored to your needs

Mine Customer Sentiment

Measure Customer Outlook Through Improved Data Analysis

Mine Customer Sentiment

NLP Use Cases

Connect structured and unstructured data to gain insights into your customer population. Predict trends, find correlations, forecast needs

Ontology Builder

Build linguistic and lexical connections in your data to better understand your customer

Doc2RDF

Pull in unstructured documents including customer reviews, news, and other data via a Knowledge Graph

NL2Query™

Allow non-technical users to ask natural language questions that are then translated into SPARQL

Integration & Professional Services

Let us help you implement a solution that is right for you

 
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Start unlocking more cost optimization, improve workflow productivity, and begin to structure and connect your unstructured data today!