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What is Kyndi?

Kyndi offers cutting-edge AI solutions tailored to elevate your organization’s key long-term objectives in strategic planning and risk management. By merging Kyndi's AI capabilities with Robotic Process Automation (RPA) technologies, businesses can develop bots that not only scrutinize textual data but also enhance productivity by automating cumbersome processes. This sophisticated technology greatly refines the threat assessment procedure by effectively consolidating diverse data from various information silos on an expansive scale. With Kyndi's proprietary advancements in AI, which include Natural Language Processing, Knowledge Graphs, and Machine Learning, companies can analyze lengthy texts more intelligently, swiftly, and transparently. Kyndi partners with leading organizations across multiple sectors within the Federal Government, including Defense, Intelligence, finance, healthcare, IT, and infrastructure. Additionally, this centralized repository of institutional knowledge can be utilized across different fields, resulting in improved decision-making and operational effectiveness. As organizations encounter ever more intricate challenges, Kyndi's solutions equip them with the essential tools to adeptly tackle these complexities, ensuring they remain competitive in a rapidly evolving landscape. Ultimately, Kyndi's commitment to innovation empowers organizations to harness the full potential of their data, paving the way for sustainable growth and success.

What is Biz7?

Numerous business activities result in the production of a significant amount of documents, which can create difficulties in finding and managing pertinent information tied to specific files, contexts, or terms. Luma7 effectively tackles these issues by generating automatic links between documents without the need for keywords, metadata, or tagging systems. Utilizing advanced algorithms, it scrutinizes the text within each document to identify potential relationships, thereby exposing the connections that exist among different files. This innovative system simplifies the oversight of generated documents, allows for the linking of various documentation sources, and guarantees the automatic creation of links across a multitude of files. Moreover, it establishes relationships between different concepts and documents, provides automated tagging that incorporates relevant keywords that may not be included in the text, and applies connection processes throughout the entire archive of articles. It also includes entity recognition capabilities that span across multiple documents and offers support for a variety of languages, thereby increasing its adaptability and usefulness for an array of business requirements. Ultimately, Luma7 revolutionizes how organizations handle their documentation by making access to interconnected information more straightforward and efficient, thus fostering better decision-making and collaboration.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Kyndi

Date Founded

2014

Company Location

United States

Company Website

kyndi.com

Company Facts

Organization Name

Luma7

Company Location

Switzerland

Company Website

luma7.com/biz/biz7.php

Categories and Features

Text Mining

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

Categories and Features

Text Mining

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

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