Raven's Eye

Raven's Eye is a cloud-based, artificially intelligent natural language analysis and Computer-Assisted Qualitative Data Analysis (CAQDAS) software. It utilizes quantitative phenomenology to provide dynamic, robust, and instantaneous automated analyses of natural language, supporting research across academics, business, government, and public service. The platform helps organizations understand the thoughts, values, perspectives, and opinions of their constituents with unparalleled ease and accuracy. It processes textual data from documents, websites, and copied text, and offers analysis for natural language spoken in 9 languages and written in 65 languages.

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Audience members with pink lanyards attentively watching and smiling during a presentation.

Vendor Details

Revolutionary AI-powered natural language analysis and computer-assisted qualitative data analysis software.

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Pillar
Audience Analysis
Primary SITech Category
Audience & Consumer Intelligence
2nd SubCat
Text Analytics
3rd SubCat
Trends Analytics
Tech Category
Software-as-a-Service (SaaS), Big Data technology
Data Coverage
Podcast & Audio Data
News & Editorial Media
Alternative / Niche Data
Data Sources
First-Party Data Upload
Web Scraping / Crawling
Podcasts & Audio Content
AI/GenAI Type
Natural Language & Conversational AI
Geographic Coverage
Global / Worldwide
Specialized Industries
Education & Training
Marketing & Advertising
Nonprofit & NGOs
Public Affairs & Policy
HQ Location
North America

Company Info

Raven's Eye is a cloud-based, artificially intelligent natural language analysis and Computer-Assisted Qualitative Data Analysis (CAQDAS) software. It utilizes quantitative phenomenology to provide dynamic, robust, and instantaneous automated analyses of natural language, supporting research across academics, business, government, and public service. The platform helps organizations understand the thoughts, values, perspectives, and opinions of their constituents with unparalleled ease and accuracy. It processes textual data from documents, websites, and copied text, and offers analysis for natural language spoken in 9 languages and written in 65 languages.