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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 LUIS?

Language Understanding (LUIS) is a sophisticated machine learning service that facilitates the integration of natural language processing capabilities into various applications, bots, and IoT devices. It provides a fast track for creating customized models that evolve over time, allowing developers to seamlessly incorporate natural language features into their projects. LUIS is particularly adept at identifying critical information within conversations by interpreting user intentions (intents) and extracting relevant details from statements (entities), thereby contributing to a comprehensive language understanding framework. In conjunction with the Azure Bot Service, it streamlines the creation of effective bots, making the development process more efficient. With a wealth of developer resources and customizable existing applications, along with entity dictionaries that include categories like Calendar, Music, and Devices, users can quickly design and deploy innovative solutions. These dictionaries benefit from a vast pool of online knowledge, containing billions of entries that assist in accurately extracting pivotal insights from user interactions. The service continuously evolves through active learning, ensuring that the quality of its models improves consistently, thereby solidifying LUIS as an essential asset for contemporary application development. This capability not only empowers developers to craft engaging and responsive user experiences but also significantly enhances overall user satisfaction and interaction quality.

Media

Media

Integrations Supported

Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Entra ID
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Take Blip

Integrations Supported

Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Entra ID
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Take Blip

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.luis.ai/

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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

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