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What is RAAPID?

For over 15 years, we have led the way in creating clinical NLP platforms and exploring their various applications, achieving remarkable levels of precision and accuracy in the process. Our primary expertise lies in accurately interpreting unstructured medical notes on a large scale, having tested our systems against billions of genuine clinical documents. We have developed AI that not only provides output but also elaborates with context, reasoning, and supporting evidence. Our NLP technology is enriched with over 4 million entities and more than 50 million relationships, thanks to the integration of extensive medical knowledge. By employing advanced Machine Learning (ML) and Deep Learning (DL) models, we have constructed a robust NLP framework built upon comprehensive ontologies and specialized clinician terminologies. This allows us to effectively comprehend, interpret, and extract meaningful insights from the often inconsistent and non-standard data present in medical records. Our clinical domain experts continuously enhance our NLP capabilities by integrating knowledge graphs that detail the connections between all clinical entities, ensuring our systems remain at the forefront of medical data interpretation. With this relentless pursuit of innovation, we are poised to shape the future of clinical NLP further.

What is LexisNexis Relationship Identifier?

Reduce the likelihood of mortgage fraud by uncovering concealed connections among individuals and businesses involved in transactions. By examining the relationships between these parties, your organization can more effectively identify organized schemes aimed at defrauding lenders. The LexisNexis Relationship Identifier is an essential resource that delivers critical insights into the interconnections among various entities, thereby enhancing your organization’s defense against fraudulent activities. This tool serves as a budget-friendly option for quickly evaluating the links between 2-8 entities, protecting your business from costly, coordinated fraud attempts. Its intuitive interface allows for the rapid discovery of relationships among multiple entities, significantly boosting your fraud detection capabilities. The succinct report produced by this tool outlines the intricate connections and clarifies how different parties relate to one another, enabling your business to investigate hidden relationships and strengthen its ability to identify potential fraud attempts early in the transaction lifecycle. By utilizing this intelligence, your organization not only enhances its defenses but also contributes to a safer and more trustworthy mortgage process. Furthermore, staying ahead of these risks ensures continuous improvement in your fraud prevention strategies.

Media

Media

Integrations Supported

Batch
XML

Integrations Supported

Batch
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RAAPID INC

Date Founded

2022

Company Location

United States

Company Website

www.raapidinc.com

Company Facts

Organization Name

LexisNexis

Date Founded

1970

Company Location

United States

Company Website

risk.lexisnexis.com/products/relationship-identifier

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

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