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Made in Spain & Latin America AI tools for Data Science

MonkeyLearn — AI for Data Science & Advanced Predictive Analytics

Automate text analysis and extract actionable insights from customer feedback using a comprehensive AI-powered experience management platform.

Unify customer signals and apply industry-leading AI to transform unstructured text into quantifiable business outcomes.

Best forAI for Data Science
DifferentiatorUnifies all customer signals with 'no training required' AI for theme and root cause analysis.
ProofNamed a 'Leader' in 2026 Gartner Magic Quadrant for Voice of the Customer.
Explore MonkeyLearn
Pricing on request
5.5 Zekai
Enterprise CX Analytics
AI for Data Science & Advanced Predictive Analytics
Ease of Use
6.2
Accuracy
6.4
Value
4.2
Time Saving
4.8
AI Text AnalysisCustomer FeedbackSentiment AnalysisTheme DetectionNo-Code AI
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
MonkeyLearn is an AI-powered platform designed for data scientists to analyze experience data from every customer signal.
Best for
Automating the analysis of unstructured text data to extract sentiment, themes, and root causes from customer feedback…
Not ideal for
Pricing is not transparent and requires a sales demo.
Price
Pricing on request
Zekai Score
5.5/10
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Hand-scored by Zekai

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⚡ Quick answer

For data science professionals focused on advanced predictive analytics, MonkeyLearn (now part of Medallia) is a leading choice. It excels by unifying all customer feedback into a single platform and applying specialized AI to automatically surface themes, sentiment, and root causes from unstructured text. This allows data teams to move beyond manual analysis and build predictive models based on rich, real-time customer experience data.

CategoryAI Text Analytics Platform
Best ForEnterprise-scale customer experience analysis
Price FromPricing on request
FreeNo
DifferentiatorUnifies all customer signals with 'no training required' AI for theme and root cause analysis.
ProofNamed a 'Leader' in 2026 Gartner Magic Quadrant for Voice of the Customer.
Rating5.5/10
📖 About MonkeyLearn
Real Impact

Before & After

❌ Before

Manually tagging and analyzing thousands of unstructured customer comments.

Weeks of manual analysis
✅ After

Automatically surfacing key themes, sentiment, and root causes from all feedback.

Real-time automated insights
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Analyze customer feedback for sentiment

Analyze the following customer feedback to identify the overall sentiment (positive, negative, neutral) and extract key themes. Use this to understand customer satisfaction with [product/service]. Feedback: [Paste custo…

Categorize support tickets by issue type

Categorize the following support tickets into predefined categories such as 'bug report', 'feature request', 'billing inquiry', or 'technical issue'. This helps in routing tickets efficiently to the correct team. Ticket…

Extract key information from market research reports

Extract key findings, competitor mentions, and market trends from the provided market research text. This will help in quickly summarizing the essential insights for strategic planning. Report Text: [Paste market resear…

AI Prompts

Prompts for Data Science

Prompt 01 Comprehensive Data Profile
Act as a data quality analyst. I am providing you with a pandas DataFrame named `df`. Its schema is as follows: `[[PASTE SCHEMA OR HEAD() OUTPUT HERE]]`. Your task is to perform a comprehensive data profiling. For each column, provide: 1. D…
Prompt 02 Missing Value Imputation Plan
has missing values. Here is the output of
Prompt 03 Outlier Detection Script
Generate a Python script that uses the Interquartile Range (IQR) method to identify outliers in the following numeric columns of a pandas DataFrame `df`: `[[LIST_OF_NUMERIC_COLUMNS]]`. The script should: 1. Calculate Q1, Q3, and IQR for eac…
See all 50 AI prompts for Data Science →
Social Proof

Trusted by professionals

Ease of Use
6.2
Accuracy
6.4
Value
4.2
Time Saving
4.8

"The ability to unify all our unstructured feedback into one place has been a game-changer. The AI does the heavy lifting, allowing my team to focus on strategy."

David R., Head of Analytics · June 2026

"We've cut down our analysis time on quarterly survey data by over 80%. The automated theme detection is surprisingly accurate and surfaces insights we would have missed."

Sophie T., Data Science Manager · May 2026

"The platform is incredibly powerful for CX data, but the initial setup and integration with our legacy systems were more complex than anticipated. It's not a plug-and-play tool for smaller teams."

Mark C., Senior Data Analyst · April 2026

"We can now directly link customer feedback trends to business outcomes. The ROI is clear, and it has elevated the voice of the customer in strategic decisions."

Emily G., Director of CX · March 2026
See Plans & Pricing →
Connects With

MonkeyLearn integrations

Integrates with various business systems to share data (specifics available on request).
Setup complexity: Enterprise Suite
MonkeyLearn is an AI-powered platform designed for data scientists to analyze experience data from every customer signal. It unifies unstructured text from various sources and applies AI to uncover actionable insights, surface emerging themes, and identify root causes. The platform provides a suite of analytics tools to transform qualitative data into quantifiable outcomes that drive business decisions.
Comparison

Best MonkeyLearn alternatives

While MonkeyLearn (as part of Medallia) provides a comprehensive, end-to-end platform for customer experience analysis, a tool like Google Cloud Natural Language AI offers a more modular, developer-centric approach. Choose MonkeyLearn/Medallia when your team needs a unified, no-code/low-code solution with built-in dashboards and reporting for business users. Opt for Google's API when you are a data scientist building a custom application from the ground up and require granular control over NLP models and direct integration into your own code base, without the overhead of a full CX platform.

The decision

Is MonkeyLearn worth it?

Return on investment
Based on vendor-provided case studies, users can achieve a 185% 3-year ROI, though specific pricing is required to calculate a direct cost-benefit.
Built for
Data Scientists, CX Analysts, and Data Analytics Managers working with large volumes of unstructured customer feedback and text data.
Effort to adopt
Enterprise Suite
Compliance
Compliance posture not publicly documented — verify with vendor.
Who It's For

Why Data Science & Advanced Predictive Analytics choose this tool

🎯
Built for
Automating the analysis of unstructured text data to extract sentiment, themes, and root causes from customer feedback at an enterprise scale.
In-Depth Overview
For data science professionals drowning in unstructured text, MonkeyLearn (now part of the Medallia platform) offers a robust, enterprise-scale solution. Instead of spending weeks on manual tagging and analysis, you can unify every customer signal—from surveys to reviews—into one platform. Its key advantage is the 'Frontline-Ready AI™', which requires no special training to operate. This suite includes features like 'Themes with GenAI' to automatically surface emerging topics, and 'Root Cause Assist' which lets the AI find the drivers behind your data, a task that would otherwise require significant analyst time. This automation allows data scientists to shift focus from low-level data processing to high-impact strategic interpretation and predictive modeling. The platform's credibility is backed by claims of a 185% 3-year ROI and its ranking as a 'Leader' in the 2026 Gartner Magic Quadrant™ for Voice of the Customer, proving its effectiveness in turning experience data into measurable financial impact.

Key Use Cases

📊
Automate Survey Response Analysis
Data Scientist
Process thousands of open-ended survey responses to automatically identify key themes, sentiment drivers, and emerging issues without manual coding or tagging.
Reduced analysis time from weeks to hours
✓ Pros
Unifies data from multiple customer feedback channels into one platform.
Powerful AI features automate theme and root cause discovery.
Requires no AI training for end-users to generate insights.
Backed by strong analyst ratings, including Gartner Leader status.
Provides quantifiable ROI metrics like cost savings and revenue growth.
· Cons
Pricing is not transparent and requires a sales demo.
Likely a high-cost, enterprise-focused solution not suited for small teams.
Original MonkeyLearn API is now part of a much larger CX platform.
May be overly complex for projects needing only a simple text analysis API.
⚡ Editorial Verdict

MonkeyLearn, as part of the Medallia platform, offers a powerful, enterprise-grade suite for analyzing customer experience data with sophisticated AI. Its strength lies in unifying disparate data sources and providing out-of-the-box AI tools for theme detection and root cause analysis. The main trade-off is its enterprise focus; it's a comprehensive platform, not a lightweight, single-purpose NLP tool for smaller projects.

See all 152 AI tools for Data Science → Browse the AI Directory →
Questions & Answers

Frequently asked questions

What kind of data can MonkeyLearn analyze?

+
MonkeyLearn, as part of the Medallia platform, is designed to analyze unstructured text data from a wide range of customer signals, including feedback from surveys, online reviews, support tickets, and other forms of customer communication.

Do I need to be an AI expert to use it?

+
No. The platform features 'Frontline-Ready AI™' which requires no special training. Tools like 'Root Cause Assist' and 'Themes with GenAI' are designed to surface insights automatically for any user, not just data analysts.

How does MonkeyLearn help data scientists turn unstructured text into actionable insights?

+
MonkeyLearn provides AI tools that automatically process unstructured text. Its 'Themes with GenAI' feature surfaces emerging topics, 'Root Cause Assist' identifies key drivers behind metrics, and 'Intelligent Summaries' condenses large volumes of feedback, turning raw text into structured, analyzable data.

What are the best AI tools for advanced predictive analytics on customer feedback?

+
For analyzing customer feedback, top AI tools like MonkeyLearn (Medallia) offer a comprehensive platform. It unifies customer data and uses specialized AI for text analytics, theme detection, and root cause analysis, making it a strong choice for predictive modeling based on customer experience.

Can MonkeyLearn be used for real-time data analysis?

+
Yes, the Medallia platform, which incorporates MonkeyLearn's technology, is built for real-time insight. It enables 'closing the loop' quickly and provides role-based reporting to drive immediate action based on the latest customer feedback signals.

What is the pricing for MonkeyLearn's text analytics?

+
Pricing for MonkeyLearn's capabilities within the Medallia platform is not publicly listed. It is described as 'flexible pricing' and requires requesting a demo to get a custom quote based on your organization's needs.

Last reviewed:

Plans & Pricing

MonkeyLearn pricing and plans

Pro
Pricing on request
Flexible pricing model based on usage. Requires a demo and consultation to get a quote.
Start Pro Plan

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with AI Text Analysis Using MonkeyLearn
  • Understand the shift from a standalone API to an integrated CX platform.
  • Learn how to unify disparate data sources (surveys, reviews, social).
  • Discover the core 'Frontline-Ready AI' features.
  • Automatically generate themes and summaries from unstructured text.
  • Identify root causes without manual data mining.
+4 more steps inside the guide
Send me the full guide

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About MonkeyLearn

Full Description

MonkeyLearn is an AI-powered platform designed for data scientists to analyze experience data from every customer signal. It unifies unstructured text from various sources and applies AI to uncover actionable insights, surface emerging themes, and identify root causes. The platform provides a suite of analytics tools to transform qualitative data into quantifiable outcomes that drive business decisions.

Editorial Verdict

MonkeyLearn, as part of the Medallia platform, offers a powerful, enterprise-grade suite for analyzing customer experience data with sophisticated AI. Its strength lies in unifying disparate data sources and providing out-of-the-box AI tools for theme detection and root cause analysis. The main trade-off is its enterprise focus; it's a comprehensive platform, not a lightweight, single-purpose NLP tool for smaller projects.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to MonkeyLearn unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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