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.

Integrations

No integrations listed.

Screenshots and Video

Kyndi Screenshot 1

Company Facts

Company Name:
Kyndi
Date Founded:
2014
Company Location:
United States
Company Website:
kyndi.com

Product Details

Deployment
SaaS

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Kyndi Categories and Features

Text Mining Software

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