Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Incorporate our advanced text analytics APIs to infuse your product, platform, or application with state-of-the-art natural language processing capabilities. Boasting the most comprehensive NLP feature set available, our technology has been refined over 19 years and is continually updated with new libraries, configurations, and models. You can assess whether a written piece conveys a positive, negative, or neutral sentiment, as well as sort and categorize documents into tailored groups. Additionally, our system can identify the expressed intentions of customers and reviewers, and extract pertinent information such as people, locations, dates, companies, products, jobs, and titles. You have the flexibility to deploy our text analytics and NLP solutions across a variety of infrastructures, including on-premise, private cloud, hybrid cloud, and public cloud environments. Our foundational software libraries for text analytics and natural language processing are fully accessible and at your service. This offering is especially advantageous for data scientists and architects who seek unrestricted access to the core technology or require on-premise deployment to maintain security and privacy standards. Ultimately, our innovative solutions empower you to harness the full potential of language data effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
.NET
No
C#
No
CisionOne
No
DataSift
No
Hootsuite
No
Microsoft 365
No
PubNub
No
Python
No
Salience
No
Semantria
No
Integrations
.NET
Yes
C#
Yes
CisionOne
Yes
DataSift
Yes
Hootsuite
Yes
Microsoft 365
Yes
PubNub
Yes
Python
Yes
Salience
Yes
Semantria
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Kyndi
Founded
2014
Country
United States
Website
kyndi.com
Vendor Details
Company Name
Lexalytics
Country
United States
Website
www.lexalytics.com
Product Features
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No