LyncsLogical Construct
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NetOwl ExtractorNetOwl
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Related Products
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About
The only purpose built contract data management solution for financial services. Drag & drop, bulk load or use the purpose built API to feed scans securely into the Lyncs system. Upload entity reference data for accurate scan organization. Automated duplicate detection and machine learning & rules hybrid auto-classification for more accurate results. Scans are then organized by entity, type and date allowing correct extraction of terms accounting for amendment chains. A variety of techniques are used to automatically extract data from the documents combining machine learning and pre-defined rules alongside user-assisted data capture in a blend of the most accurate and effective techniques. All stages of document processing are underpinned by a role-based workflow. Documents can be locked to prevent other users making changes, assigned to particular users and promoted or rejected to other workflow states. Full version tracking, audit and data 'time-machine'.
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About
NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Financial agencies and organizations requiring a contract data management solution to keep track of their contract information and analyze it
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Audience
Companies and organizations searching for an AI-based natural language processing and machine learning entity extraction solution
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationLogical Construct
Founded: 2014
United Kingdom
www.logicalconstruct.com/lyncs-product-overview/
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Company InformationNetOwl
Founded: 1996
United States
www.netowl.com/entity-extraction
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Categories |
Categories |
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Integrations
ArcGIS
Not Supported
Elasticsearch
Not Supported
Google Maps
Not Supported
IBM Cloud
Not Supported
Kibana
Not Supported
MarkLogic
Not Supported
Palantir Apollo
Not Supported
SolrCommerce
Not Supported
Tableau
Not Supported
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Integrations
ArcGIS
Supported
Elasticsearch
Supported
Google Maps
Supported
IBM Cloud
Supported
Kibana
Supported
MarkLogic
Supported
Palantir Apollo
Supported
SolrCommerce
Supported
Tableau
Supported
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