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What is Etuma?

The Etuma text analysis platform converts open-ended customer feedback into meaningful and actionable insights. Handling vast amounts of open-text responses from diverse sources can make it difficult to efficiently extract timely and relevant information. The traditional method of manually reviewing and classifying each comment is not only slow and expensive but also inconsistent. Although keyword analysis may have been considered, it frequently falls short of delivering statistically significant or actionable outcomes. Additionally, feedback gathered from various processes and channels often remains isolated, leading to valuable insights being locked away in organizational silos, accessible only to a limited audience. Etuma provides seamless integrations with a variety of survey, customer experience management, and contact center tools, plus it enables connections to spontaneous feedback channels like email or web forms, making sure that all feedback is leveraged effectively. By utilizing this service, organizations can significantly improve their grasp of customer sentiment and enhance overall decision-making. In doing so, they can create a more cohesive strategy that addresses customer needs more effectively.

What is Atomic Intelligence?

Atomic Intelligence provides a digital platform designed for the automated analysis of written content. We sift through extensive datasets, which encompass news stories, social media updates, and regulatory documents, identifying expressed viewpoints along with mentions of companies, products, and various subjects. Our offerings are crucial for investment firms that utilize this information to refine their proprietary trading strategies, consumer goods companies looking to assess customer sentiment, and technology organizations aiming to outsource text analysis tasks. Atomic Intelligence diligently examines texts to reveal references to companies, products, sentiment, and a multitude of other factors. By employing cutting-edge natural language processing and machine learning techniques, we detect important mentions, whether they are overtly articulated or subtly suggested within the material. Furthermore, Atomic Intelligence can efficiently manage any type of unstructured data. Users have the option to upload files via our web interface or API, or they can configure Atomic for automated scheduled data retrieval from their chosen sources, thus simplifying the analysis workflow. This functionality not only enhances efficiency but also equips organizations with the tools needed to extract meaningful insights and make well-informed decisions grounded in thorough textual analysis. Ultimately, our goal is to transform the way organizations interact with text data, facilitating a deeper understanding of market sentiments and trends.

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

Etuma

Date Founded

2011

Company Location

Finland

Company Website

www.etuma.com

Company Facts

Organization Name

Atomic Intelligence

Date Founded

2003

Company Location

United States

Company Website

www.atomicintelligence.com

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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