Audience
Enterprises and anyone in search of a solution to extract data points from unstructured text
About NLMatics
Easiest way to extract data points from unstructured text. Simultaneously search through research reports, prospectus, customer requests or feedback to extract, track and analyze meaningful, custom defined data points. Access 100+ unique data points for your investment & risk management strategy. Search and create custom data sets from EDGAR and other public or private sources. Streamline your deal underwriting process. Streamline your capital markets and structured finance legal flow. Instantly extract 100+ data points to categorize, compare and collaborate with your clients. Deconstruct unstructured text in PubMed and clinical trial data into diseases, genes, proteins, symptoms & more. Get all your research in a single place. Bring in research from any source into your workspaces using our Chrome plug-in. Make digital PDFs to machine readable. JSON and HTML output with detailed section hierarchy, multi-level tables, lists, header, footer and watermarks removed.
Pricing
Free Trial:
Free Trial available.
Company Information
NLMatics
Founded: 2019
United States
www.nlmatics.com
Videos and Screen Captures
Waveline
You get dozens of daily e-mails, but only some need your immediate attention, so the e-mail classifier below helps you maintain an organized inbox. For customer complaints, we summarize the main issue and notify #customer-support on Slack. Delayed orders go into #customer-relation. After a customer call with your support agent, you want to stay informed on what happened. Instead of listening to the whole call, create a Waveline flow that summarizes the main points. Many people experience writer's block when writing text. Quickly build an internal tool with Waveline that automatically gathers information about the recipient from LinkedIn and a Google search to generate a highly personalized first draft. Parse unstructured data and repackaged it into a structured format. Waveline uses LLMs to extract information from text, images, and more.
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PrecisionOCR
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR).
PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document.
Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records.
Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
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Dataku
Transform documents into structured, actionable data, and extract key information from unstructured texts effortlessly. Streamline recruitment with automated resume data sorting for quick candidate evaluation. Decode customer sentiments and feedback to drive product and service enhancements. Leverage customer interaction data to personalize experiences and build loyalty. Utilize market data to spot trends and capitalize on market opportunities. Empower strategic decision-making with in-depth analysis of financial documents. Tell us the information you're seeking to extract, provide your documents or texts, in any format, and receive accurately extracted data, ready for use. Streamline your data processes, saving time and resources with advanced algorithms for accurate extraction. From small tasks to large datasets, we handle it all. Optimize your business processes with our professional-grade features.
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Lymba
Insurance is driven to get the right rate and to manage risk. In this competitive environment, alleviating areas of manual intervention are critical to separate ourselves from peers in the industry. Large staffs are required to search through, read, organize, analyze and distribute information for underwriting and support purposes. Much of the data is text-centric and unstructured needing manual review. Scaling generally entails hiring more people or outsourcing. Complaints must be filtered and registered according to topic and level of severity. Automotive companies gather these complaints in multiple ways, including emails, comments, forms, etc. Lymba’s Underwriting and Support NLP solution streamlines the text-centric bottlenecks by transforming the data into actionable knowledge; this saves time and resources by populating an initial review.
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Product Details
Platforms Supported
SaaS
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