What is Caplena AG?
Imagine effortlessly understanding what your customers and employees really think. Caplena's AI Feedback Analysis Platform helps you move beyond simple surveys and ratings, diving deep into open-ended feedback to uncover the true drivers of satisfaction (or dissatisfaction). Stop spending hours manually analyzing text responses – Caplena helps you quickly identify key themes, sentiments, and actionable insights, so you can make data-driven decisions that improve experiences and drive change.
Key Features:
📊 Import Data Seamlessly: Connect Caplena directly to your existing feedback sources – CRM systems, survey tools, social media, review platforms, or even standalone files. No complicated setup or waiting on technical teams. This means you spend less time wrangling data and more time understanding it.
🌍 Analyze Feedback in Any Language: With built-in support for over 100 languages, Caplena breaks down communication barriers. Understand feedback from your global audience without needing multiple tools or manual translation.
🔍 Uncover Hidden Themes with AI: Caplena's powerful AI automatically identifies the most relevant topics and themes within your feedback, even as trends evolve. The algorithm uses LLMs and is MECE which ensure topics are comprehensive. You maintain full control and can refine the analysis to perfectly match your needs. This ensures you never miss crucial insights hidden in the noise.
😊😠 Pinpoint Sentiment at the Topic Level: Go beyond overall sentiment scores. Caplena identifies the specific topics driving positive or negative feedback. This allows you to understand not just if people are happy, but why.
🤖 Ask the AI for Instant Answers: Leverage Caplena's "InsightChat" to deep-dive into your data using a conversational interface. Get summaries, explore specific themes, and quickly answer pressing questions. This puts the power of advanced analysis directly in your hands.
📈 Combine Open Text with Quantitative Data: Connect your text analysis with existing metrics (like satisfaction scores or demographics) to see the full picture. For example, you can instantly see why a particular customer segment is less satisfied than another by analyzing their open-ended responses.
⚙️Fine tune the AI:You are able to refine and train the AI to make it more accurate over time.
Use Cases:
Customer Experience (CX): A hotel chain uses Caplena to analyze guest reviews. They discover that while overall satisfaction is high, comments about "slow check-in" are consistently negative. This allows them to address a specific operational bottleneck and improve the guest experience.
Employee Experience (EX): A large corporation uses Caplena to analyze employee survey feedback. They identify that "lack of career growth opportunities" is a major concern, even among employees who rate their overall job satisfaction as "good." This prompts them to invest in new training and development programs.
Market Research: A market research agency uses Caplena to analyze open-ended responses from a consumer survey about a new product. They quickly identify key themes, like "easy to use" and "too expensive," providing their client with valuable insights into market perception.
Conclusion:
Caplena empowers you to truly understand your customers and employees by transforming open-ended feedback into actionable insights. It's more than just a text analysis tool; it's a strategic asset for improving experiences, driving loyalty, and making data-driven decisions. Stop guessing and start understanding with Caplena.
More information on Caplena AG
Launched
2016-08
Pricing Model
Contact for Pricing
Starting Price
Global Rank
1768329
Follow
Month Visit
11.4K
Tech used
Nuxt.js,Google Cloud Platform,Gzip,HTTP/3,JSON Schema,OpenGraph,HSTS,Nginx,Intercom
Top 5 Countries
31.98%
17.42%
10.8%
10.55%
9.2%
Switzerland
Germany
France
United States
Australia
Traffic Sources
3.24%
0.84%
0.14%
9.07%
43.78%
42.86%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Caplena AG was manually vetted by our editorial team and was first featured on 2025-02-11.
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