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Description
• Identify Themes
• Illustrate Findings
• Sentiment Analysis by Topic
• Enhanced by Collaborative AI
Caplena serves as a customer feedback platform that leverages augmented intelligence to assist market researchers, customer experience specialists, and consultants in extracting profound insights from qualitative text data.
The inception of Caplena traces back to the realization by co-founders Maurice and Pascal that numerous market research agencies grappling with customer feedback encounter a common challenge: an overload of open-ended responses coupled with insufficient time to conduct thorough analyses.
Since its launch in the Spring of 2018, Caplena has processed over 50 million responses, consistently adding around 120 new projects each week. Today, it stands as the preferred text analytics solution for more than 100 enterprises across over 15 nations, with notable clients including Swisscom, eBay, DHL, Coop, and Joyn, demonstrating its widespread impact and utility in the market research landscape.
Description
Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Caplena
Founded
2017
Country
Switzerland
Website
caplena.com/en/
Vendor Details
Company Name
Gavagai
Founded
2009
Country
Sweden
Website
www.gavagai.io
Product Features
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis
Customer Feedback
Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Product Features
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
