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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
Pyoneer Product empowers organizations to truly listen to their customers. By harnessing the capabilities of AI, it analyzes feedback across various channels to uncover the most significant themes. This process allows businesses to evaluate, enhance, and refine their customer experience continuously. Additionally, it ensures that customer feedback is centralized, enabling real-time importation of data from mobile, web, and other platforms, regardless of where the interactions occur. With a multitude of integration options and the ability to manually upload data files, businesses can easily manage their feedback sources. The automated AI features facilitate the identification of trends, allowing users to monitor key business metrics and observe their evolution over time. Companies may wish to delve into specific features or discern which themes capture the most attention from users. By recognizing all relevant patterns, organizations can better grasp the underlying reasons behind customer sentiments. Once trends are pinpointed, Pyoneer enables a deeper understanding of their causes, helping businesses quantify user insights and prioritize what truly matters for their growth and success. In this way, Pyoneer not only transforms feedback into actionable data but also fosters a culture of continuous improvement.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Axis LMS
Quickwork
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$99 per user, per month
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
Pyoneer
Country
Germany
Website
pyoneer.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
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis
