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ease
features
design
support

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Description

Kyndi's innovative AI solutions are designed to enhance your organization's essential long-term goals related to strategic planning and risk assessment. By integrating Kyndi's AI software with Robotic Process Automation (RPA) tools, organizations can create bots that not only analyze text but also streamline inefficient processes through automation. This advanced technology significantly improves the threat assessment process by seamlessly integrating diverse data from various information silos on a large scale. With Kyndi's patented AI advancements, which encompass Natural Language Processing, Knowledge Graphs, and Machine Learning, businesses can analyze long-form text more intelligently, rapidly, and with greater transparency. Kyndi collaborates with prominent entities across various sectors within the Federal Government, such as Defense, Intelligence, finance, healthcare, IT, and infrastructure. Moreover, this centralized institutional knowledge can be leveraged across multiple domains, leading to enhanced decision-making and operational efficiency. As organizations face increasingly complex challenges, Kyndi's solutions provide the necessary tools to navigate these difficulties effectively.

Description

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

TAS Insight Engine

Integrations

TAS Insight Engine

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.003 per NLU item
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kyndi

Founded

2014

Country

United States

Website

kyndi.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-natural-language-understanding

Product Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Product Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Alternatives

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