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What is Ingenia?

Ingenia revolutionizes your content by converting it into valuable insights through a tailored methodology. By leveraging advanced machine learning techniques, it systematically organizes the information transmitted via our API, pinpointing unique patterns that associate your content with selected tags. Designed specifically for your requirements, Ingenia empowers you to transcend standard classifications, giving you the ability to choose the most pertinent categories for your content, which it continuously learns from and adapts to. You can easily adjust these tags at any time, ensuring you maintain complete authority over the categorization process. Furthermore, as your needs for categorization change, Ingenia automatically updates to accommodate these shifts, relieving you from the burden of manual changes and maintaining a well-structured content framework. This allows you to dedicate more time to content creation while Ingenia efficiently handles the categorization process, ensuring your workflow remains uninterrupted. Ultimately, Ingenia not only enhances organization but also streamlines your creative efforts.

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

Retechnica

Date Founded

2012

Company Location

United Kingdom

Company Website

www.ingeniapi.com

Company Facts

Organization Name

Atomic Intelligence

Date Founded

2003

Company Location

United States

Company Website

www.atomicintelligence.com

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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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