Audience

Companies in need of a solution to identify threat signals and opportunities buried within huge volumes of information

About Adarga

We are faced with overwhelming volumes of unstructured data, news feeds, reports, presentations, videos, etc. There is a powerful competitive advantage for organizations able to exploit unstructured data, yet only 1% are able to leverage it as a strategic asset. Adarga’s knowledge platform processes unstructured data at a speed simply unachievable by humans alone, presenting it in comprehensible formats. Users can accelerate reporting, analyze complex situations and understand intricate networks with out-of-the-box AI capability that enhances human decision-making. The Adarga knowledge platform transforms productivity and extends human capability by automating time and knowledge-intensive tasks. It uses cutting-edge AI techniques, including natural language processing and network science, to understand and analyze unstructured data at speed, fusing it into a single, secure software platform.

Integrations

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Company Information

Adarga
United Kingdom
adarga.ai/

Videos and Screen Captures

Adarga Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
In Person
Videos
Support
Phone Support
Online

Adarga Frequently Asked Questions

Q: What kinds of users and organization types does Adarga work with?
Q: What languages does Adarga support in their product?
Q: What kind of support options does Adarga offer?
Q: What type of training does Adarga provide?

Adarga Product Features

Qualitative Data Analysis

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

Text Mining

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