Caplena vs Licili: A Clear Comparison

Both Caplena and Licili help organizations analyze open-ended feedback using AI.
Where Licili focuses on automation and simplicity, Caplena is designed for insight-driven teams that demand accuracy, transparency, and flexibility across studies, reviews, and customer experience data.

If your team codes open-text data, needs trusted AI results, or operates under strict data standards, this guide highlights the key differences that matter most.

Who Are These Tools Built For?

Caplena serves CX, insights, and research teams analyzing surveys, CX analysis, reviews, and employee feedback. It’s designed for professionals who need accuracy, transparency, and flexibility when working with multilingual data across ad-hoc studies or continuous feedback trackers.
Caplena fits mid-sized and enterprise organizations, as well as agencies, that prioritize data quality, adaptability, and secure infrastructure.

Licili is aimed at CX teams and B2C companies that need a plug-and-play text analysis platform for aggregating reviews, social feedback, and survey comments. It’s built for professionals who want simplicity and automation to monitor feedback, without setting up advanced configurations.
Licili fits small to mid-sized organizations that value ease of use and quick setup over customization and control.

Features at a glance

✅ Supported ❌ Not available ⚠️ Limited

Common Capabilities

Both Caplena and Licili use AI to classify open-ended text into topics and sentiment, helping insights teams process survey comments, reviews, and other feedback at scale.

Both platforms:

• Host and process data in the EU (Caplena: Netherlands; Licili: Germany)

• Support multilingual datasets (Caplena: 100+ languages natively; Licili: not listed)

• Offer integrations with major survey and review sources like Qualtrics, Trustpilot, and Yelp

• Provide benchmarking through public review data

• Include alerting and monitoring features:

  • Caplena enables topic- or segment-specific alerts for statistically significant changes, with user-defined thresholds.

  • Licili’s Process Agent automatically detects anomalies and converts them into “action fields” for follow-up.

From there, the differences start to matter.

Key Differences for Insight Teams

AI Quality & Control

Caplena gives analysts complete visibility and control over AI results. Each response includes a confidence score, and edits made by users automatically retrain the model, improving accuracy over time.
Licili automates analysis of topics and sentiment but does not include visible confidence levels, retraining, or analyst feedback loops in its documentation.

👉 See how Caplena ensures AI quality and accuracy

Smart Data Enrichment

Caplena’s Smart Columns feature helps clean and enrich feedback data automatically. Analysts can extract entities, map codes, create formula fields, or merge columns for deeper filtering and analysis, all powered by LLMs.
Licili provides structured feedback analysis but does not list comparable enrichment or transformation tools.

👉 Discover how Smart Columns enrich data

Topic Management & Codebooks

Caplena allows full flexibility when managing topics. Users can merge, rename, or create new topics, import existing codebooks, and guide the AI using prompts to uncover related themes or new patterns.
Licili identifies topics and subthemes automatically but does not mention editable topic structures or reusable codebooks.

👉 Explore how Caplena handles AI topic modeling

Insight Chat

Caplena’s Insight Chat acts as an embedded research assistant. Users can ask questions like “What drives low NPS in Germany?” and get instant, data-backed answers with visual charts or summaries.
Licili does not list a comparable conversational interface.

👉 Learn how to use Insight Chat for instant analysis

Integrations & API Extensibility

Caplena offers a public REST API and a Python client library, making it easy to integrate with tools such as Qualtrics, Medallia, or Tableau. There are no limits on the number of connectors per plan.
Licili integrates with 30 or more feedback sources, including local German sites, but relies on webhook access without public documentation or SDK support.

👉 View all Caplena integrations

Reporting & BI-Connectors

Caplena includes a reporting suite that combines qualitative and quantitative variables in fully customizable dashboards. Teams can compare segments, track trends, and push live data into BI tools like Tableau or Power BI.
Licili offers prebuilt dashboards and widgets for core CX metrics but does not mention BI connectors or layout customization.

👉 See how Caplena’s reporting brings feedback to life

Enterprise Security & Compliance

Caplena is GDPR compliant, SOC 2 Type II certified, supports SSO via SAML, and uses ISO 27001-certified EU data centers. Regular penetration tests and built-in PII anonymization ensure enterprise-level protection.
Licili meets GDPR requirements and processes data in Germany but does not list additional certifications or SSO support.

👉 Visit Caplena’s Trust Center

Award-winning Customer Success

Caplena’s customer success team is known for its personalized support and research expertise, guiding clients from setup to advanced analysis.
Licili mentions onboarding assistance but provides few details publicly.

👉 See what customers say about Caplena

Conclusion

Licili is a good fit for companies that need a simple, plug-and-play text analysis platform with local German integrations and simple workflows. Its setup and range of connectors make it well suited for German businesses focused on monitoring reviews and customer sentiment.

Caplena is built for insight-driven teams that expect more from their analytics. With features like Insight Chat, Smart Columns, and enterprise-grade security and compliance (including SOC 2 Type II), it gives teams the flexibility, precision, and confidence to turn any type of feedback into actionable insight.

Both tools help make sense of open-ended data, but Caplena goes further: offering a scalable, customizable platform for organizations that analyze feedback across surveys, NPS and E-NPS, public reviews and more.