Caplena

About Caplena

Caplena provides a text analysis platform that utilizes collaborative AI to automatically categorize and tag open-ended customer and employee feedback, enabling topic-level sentiment analysis. This technology significantly reduces the time required for data processing, allowing organizations to quickly extract actionable insights from large volumes of qualitative data.

```xml <problem> Analyzing open-ended customer and employee feedback is a time-consuming process, often requiring manual categorization and tagging, which delays the extraction of actionable insights from qualitative data. Traditional coding software can be slow and inefficient, hindering organizations from effectively understanding and responding to valuable feedback. </problem> <solution> Caplena provides a text analysis platform that leverages collaborative AI to automate the categorization and tagging of open-ended feedback, enabling topic-level sentiment analysis. The platform uses automated topic discovery, industry templates, and user preferences to identify relevant themes within the text data. It then auto-tags and categorizes verbatim responses, allowing users to fine-tune the AI for improved accuracy. The platform also offers customizable dashboards and interactive charts for visualizing results and sharing insights, significantly reducing data processing time and enabling organizations to quickly extract meaningful information. </solution> <features> - Automated topic discovery using AI to identify relevant themes in text data - Auto-tagging and categorization of verbatim responses with optional manual fine-tuning - Topic-level sentiment analysis to differentiate between positive and negative mentions - Customizable dashboards and interactive charts for data visualization - Support for over 36 languages with integrated translation services - Data export options in Excel, SPSS, and CSV formats - Collaborative AI that learns from user input to improve accuracy </features> <target_audience> Caplena is designed for market researchers, CX professionals, consultants, and human resources departments seeking to efficiently analyze customer and employee feedback. </target_audience> <revenue_model> Caplena offers a subscription-based pricing model with various tiers based on the number of responses analyzed and features included. </revenue_model> ```

What does Caplena do?

Caplena provides a text analysis platform that utilizes collaborative AI to automatically categorize and tag open-ended customer and employee feedback, enabling topic-level sentiment analysis. This technology significantly reduces the time required for data processing, allowing organizations to quickly extract actionable insights from large volumes of qualitative data.

Where is Caplena located?

Caplena is based in Zürich, Switzerland.

When was Caplena founded?

Caplena was founded in 2017.

How much funding has Caplena raised?

Caplena has raised 4710000.

Location
Zürich, Switzerland
Founded
2017
Funding
4710000
Employees
24 employees
Major Investors
Inveready

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Caplena

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Executive Summary

Caplena provides a text analysis platform that utilizes collaborative AI to automatically categorize and tag open-ended customer and employee feedback, enabling topic-level sentiment analysis. This technology significantly reduces the time required for data processing, allowing organizations to quickly extract actionable insights from large volumes of qualitative data.

caplena.com2K+
cb
Crunchbase
Founded 2017Zürich, Switzerland

Funding

$

Estimated Funding

$3M+

Major Investors

Inveready

Team (20+)

No team information available.

Company Description

Problem

Analyzing open-ended customer and employee feedback is a time-consuming process, often requiring manual categorization and tagging, which delays the extraction of actionable insights from qualitative data. Traditional coding software can be slow and inefficient, hindering organizations from effectively understanding and responding to valuable feedback.

Solution

Caplena provides a text analysis platform that leverages collaborative AI to automate the categorization and tagging of open-ended feedback, enabling topic-level sentiment analysis. The platform uses automated topic discovery, industry templates, and user preferences to identify relevant themes within the text data. It then auto-tags and categorizes verbatim responses, allowing users to fine-tune the AI for improved accuracy. The platform also offers customizable dashboards and interactive charts for visualizing results and sharing insights, significantly reducing data processing time and enabling organizations to quickly extract meaningful information.

Features

Automated topic discovery using AI to identify relevant themes in text data

Auto-tagging and categorization of verbatim responses with optional manual fine-tuning

Topic-level sentiment analysis to differentiate between positive and negative mentions

Customizable dashboards and interactive charts for data visualization

Support for over 36 languages with integrated translation services

Data export options in Excel, SPSS, and CSV formats

Collaborative AI that learns from user input to improve accuracy

Target Audience

Caplena is designed for market researchers, CX professionals, consultants, and human resources departments seeking to efficiently analyze customer and employee feedback.

Revenue Model

Caplena offers a subscription-based pricing model with various tiers based on the number of responses analyzed and features included.

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