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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

We leverage Artificial Intelligence to streamline the classification of unstructured data efficiently. Our platform offers a comprehensive overview of document sensitivity across different sectors of your organization. With user-friendly visualizations, you can easily pinpoint which departments manage the most sensitive data and observe the distribution percentages. This enables you to make well-informed decisions to protect your most critical assets. Harness AI to categorize and label millions of documents effectively. The dashboard provides real-time analytics and statistics, ensuring you stay updated. Our advanced classification technology allows you to accurately determine who accesses sensitive documents, where this access occurs, and how it is managed within your organization. Utilizing our intuitive web platform, you can uncover patterns in user behavior and identify the areas with the greatest access to sensitive information. This unprecedented level of control over your data security is at your fingertips. Furthermore, our solution is fully adaptable to your business terminology and continuously improves its classification accuracy through self-learning processes. This ensures that your organization remains agile and responsive to evolving data security needs.

Description

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Akira AI
AnyIP
Cohere
DagsHub
DeepSeek Coder
Falcon-7B
GPT-4o mini
Gemini 2.5 Pro
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Grok 4
Netskope
Qwen2.5-1M
Qwen2.5-Coder
SAS Life Science Analytics Framework
SwapCode AI
TeamStation
Timbr.ai
XetaBase
ai|coustics

Integrations

Akira AI
AnyIP
Cohere
DagsHub
DeepSeek Coder
Falcon-7B
GPT-4o mini
Gemini 2.5 Pro
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Grok 4
Netskope
Qwen2.5-1M
Qwen2.5-Coder
SAS Life Science Analytics Framework
SwapCode AI
TeamStation
Timbr.ai
XetaBase
ai|coustics

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Kriptos

Country

United States

Website

www.kriptos.io

Vendor Details

Company Name

The R Foundation

Website

www.r-project.org

Product Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Product Features

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