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MonkeyLearn

  • What it is:MonkeyLearn is a cloud-based text analytics platform that uses machine learning to automate workflows like sentiment analysis, topic detection, and entity extraction.
  • Best for:Mid-sized marketing teams, Customer support organizations, Product teams analyzing reviews
  • Pricing:Starting from $299/month
  • Rating:75/100Good
  • Expert's conclusion:MonkeyLearn is best for small business and marketing teams looking for simple, no-code text analytics to gain insight into their customers through customer feedback.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is MonkeyLearn and What Does It Do?

MonkeyLearn offers an AI-based solution for text analysis and provides a no-code platform for companies to analyze text based on machine learning to find insights in text data through different processes such as; Sentiment Analysis, Topic Detection and Keyword Extraction. The company was founded in 2014. The company's headquarters was located in San Francisco, CA. In February 2022 MonkeyLearn was acquired by Medallia.

Acquired
📍San Francisco, CA
📅Founded 2014
🏢Subsidiary
TARGET SEGMENTS
Business TeamsEnterprisesDevelopers

What Are MonkeyLearn's Key Business Metrics?

📊
$2.28M
Total Funding
🏢
11-50
Employees
💵
$5.7M
Revenue
📊
50+
Corporate Clients
👥
12,000+
Users
📊
February 2022
Acquisition Date

How Credible and Trustworthy Is MonkeyLearn?

75/100
Good

MonkeyLearn has been providing text analysis solutions for many years. MonkeyLearn also has a good track record of obtaining capital funding, and it was recently purchased by Medallia, which is a well-known and respected company.

BREAKDOWN
Product Maturity85/100
Company Stability80/100
Security & Compliance70/100
User Reviews75/100
Transparency65/100
Support Quality70/100
TRUST SIGNALS
Acquired by Medallia (Feb 2022)50+ corporate clients pre-acquisition12,000+ registered users$2.28M total funding

What is the history of MonkeyLearn and its key milestones?

2014

Company Founded

MonkeyLearn was created by Raúl Garreta, Ernesto Rodriguez, Federico Pascual and Martín Alcalá Rubí, who started MonkeyLearn as a spin-off from Tryolabs in Montevideo, Uruguay.

2015

500 Startups Acceleration

MonkeyLearn participated in one of the most well known accelerators in the world (500 Startups).

2016

Silicon Valley Expansion

MonkeyLearn raised $600k in funding from over 100 investors, and opened up their office in San Francisco at Galvanize Coworking.

2020

Series Funding

MonkeyLearn received another round of funding totaling $2.2M.

2022

Acquired by Medallia

MonkeyLearn was purchased by Medallia to expand its ability to perform AI-based text analysis.

What Are the Key Features of MonkeyLearn?

✨
No-Code Model Builder
MonkeyLearn has a graphical user interface to allow users to develop custom text classification models and extract models without needing to have coding experience.
✨
Sentiment Analysis
MonkeyLearn has pre-built and custom models to analyze the sentiment of text data (positive/negative/neutral) and determine the dominant subject matter or topic(s) contained in a large volume of un-structured text.
✨
Topic Detection
MonkeyLearn will automatically classify and categorize all of the subjects or topics found in large volumes of un-structured text.
✨
Keyword Extraction
MonkeyLearn will be able to automatically identify and categorize the key words and phrases that are most relevant to customer comments and feedback and documents.
✨
Intent Detection
MonkeyLearn will automatically categorize user intent from support ticket comments, chat comments and survey responses.
✨
MonkeyLearn Studio
MonkeyLearn includes a drag-and-drop workflow builder that allows users to combine different MonkeyLearn text analysis models together in different ways.
🔗
API Integration
MonkeyLearn also includes a RESTful API to embed text analysis into a company's existing applications and workflows.
✨
WordCloud Visualization
MonkeyLearn can generate visual "word-clouds" of analyzed text data for quick insights.

What Technology Stack and Infrastructure Does MonkeyLearn Use?

Infrastructure

Cloud-based SaaS (pre-acquisition)

Technologies

Machine LearningNatural Language ProcessingPython

Integrations

REST APIZapierGoogle SheetsSalesforceHubSpot

AI/ML Capabilities

Machine learning models for text classification, sentiment analysis, topic detection, keyword extraction, and intent classification with both pre-trained and custom training capabilities

Inferred from product descriptions across CB Insights, Golden, and company mentions; specific stack details limited post-acquisition

What Are the Best Use Cases for MonkeyLearn?

Customer Support Teams
MonkeyLearn can automatically categorize support tickets based on sentiment, intent and topic so that companies can quickly see which customers need to be addressed first to reduce customer response time.
Marketing Analysts
MonkeyLearn can analyze social media mentions, reviews and survey feedback to track how customers feel about your brand and what new trends may be emerging. In order to make the following text more human sounding, I will simply rephrase it. I am NOT answering the question – I am ONLY rephrasing the text below. BEGIN_TEXT
Product Managers
Determine what features or functionality your customers need by analyzing their pain points through topic detection and keyword extraction across all channels that you receive customer input through
Sales Development Reps
Identify which potential clients are likely to convert based upon email or chat transcript intent signals, and focus marketing efforts on those types of conversion prospects.
NOT FORHigh-Frequency Trading
Not a good choice – the latency in extracting insights from text does not provide enough time to develop real-time trading signals as needed by some traders
NOT FORMedical Diagnosis Systems
Does not offer sufficient compliance or clinical validity in the healthcare space to be used for diagnostic purposes, so is not a good fit

How Much Does MonkeyLearn Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Team$299/month10k queries/month, 3 custom models, 1 template workflow, 3 seats, pre-made models, API/CSV/Zapier/Google Sheets integrations, 1 template dashboard, email support—
BusinessCustom quoteCustom query volume, custom models/workflows, unlimited seats, custom integrations, customized dashboards—
BI & WarehouseCustom quoteEnterprise features for business intelligence and data warehouse integrations—
Free TrialAvailableTrial period to test platform features—
Team$299/month
10k queries/month, 3 custom models, 1 template workflow, 3 seats, pre-made models, API/CSV/Zapier/Google Sheets integrations, 1 template dashboard, email support
BusinessCustom quote
Custom query volume, custom models/workflows, unlimited seats, custom integrations, customized dashboards
BI & WarehouseCustom quote
Enterprise features for business intelligence and data warehouse integrations
Free TrialAvailable
Trial period to test platform features
💡Pricing Example: Small team processing 10,000 queries/month
Team Plan$299/month
Includes 10k queries, 3 seats, basic integrations
Business PlanCustom (higher volume)
For teams exceeding 10k queries/month

How Does MonkeyLearn Compare to Competitors?

FeatureMonkeyLearnKeatextDeep TalkLevity
Core FunctionalityText analytics, sentiment analysis, classificationText miningNLP analysisText/image classification
Starting Price$299/mo$100/mo$90/mo$10/mo
Free Tier AvailabilityNoNoFree versionNo
Enterprise FeaturesCustom plansContact vendorFree versionPaid plans
API AvailabilityYesYesYesYes
Integration CountZapier, Google Sheets, APIStandard integrationsStandardStandard
Support OptionsEmail (Team), Custom (Business)StandardStandardStandard
Security Certifications
Core Functionality
MonkeyLearnText analytics, sentiment analysis, classification
KeatextText mining
Deep TalkNLP analysis
LevityText/image classification
Starting Price
MonkeyLearn$299/mo
Keatext$100/mo
Deep Talk$90/mo
Levity$10/mo
Free Tier Availability
MonkeyLearnNo
KeatextNo
Deep TalkFree version
LevityNo
Enterprise Features
MonkeyLearnCustom plans
KeatextContact vendor
Deep TalkFree version
LevityPaid plans
API Availability
MonkeyLearnYes
KeatextYes
Deep TalkYes
LevityYes
Integration Count
MonkeyLearnZapier, Google Sheets, API
KeatextStandard integrations
Deep TalkStandard
LevityStandard
Support Options
MonkeyLearnEmail (Team), Custom (Business)
KeatextStandard
Deep TalkStandard
LevityStandard
Security Certifications
MonkeyLearn—
Keatext—
Deep Talk—
Levity—

How Does MonkeyLearn Compare to Competitors?

vs Keatext

MonkeyLearn has a much higher cost per month than Keatext (MonkeyLearn costs $299/mo while Keatext costs $100/mo), and MonkeyLearn is geared towards larger enterprises whereas Keatext is better suited for smaller groups

MonkeyLean is best for larger enterprises that require large amounts of text analysis, and Keatext is best for smaller businesses that are looking for a more cost-effective solution.

vs Deep Talk

MonkeyLearn offers a much higher price point ($299) and also has structured workflow and pre-made models, but MonkeyLearn’s pricing can be considered to be more expensive for most companies. DeepTalk offers an entry level price of $90, and a free version with many strong NLP capabilities.

The DeepTalk platform would be best for experimenting/testing ideas, while MonkeyLean is best for when you are ready to go into full-scale production.

vs Levity

Levity is a product that uses a very low-cost approach ($10-$299) and is multi-modal (using both images and text), while MonkeyLean is focused on just text analysis with team pricing.

If you have diverse business needs (multi-modal), then Levity is a great option, if you need specialized text-mining workflows then MonkeyLean is a great choice.

What are the strengths and limitations of MonkeyLearn?

Pros

  • There is no need to write code as there are already built-in models for both sentiment analysis and classification
  • It is easy to integrate, and can work with Zapier, Google Sheets, CSV, and API.
  • The ability to train custom models – allowing users to build new classifiers that do not require any data science experience.
  • Template workflows – making it easier to get started quickly by providing pre-built analytics pipelines.
  • Scalable pricing options – offering team-based pricing, as well as customized pricing for larger enterprises.
  • Users report high value ratings – reporting an average of 4.5/5 for the overall "value for money" from user reviews.

Cons

  • High starting price – MonkeyLean has a significantly higher monthly price of $299 compared to the average price for products in this category ($99).
  • Tiered query limits – while MonkeyLean's Team plan allows for up to 10K queries per month, this may limit users who have extremely high volumes of usage.
  • No free plan – MonkeyLean does not have a free plan, and only offers a trial – creating a barrier for small teams and solopreneurs.
  • Limitation of seats on base plan - $299 Team plan includes only 3 seats
  • Pricing for business/custom plans are opaque; a sales representative will need to be contacted for custom quotes on Business/Enterprise plans
  • Some customers report trial limits for row-based testing - limits their ability to test full capacity of product

Who Is MonkeyLearn Best For?

Best For

  • Mid-sized marketing teams — Ideal for analyzing sentiment across large volumes of customer feedback at scale
  • Customer support organizations — Intended to improve ticket routing through intent detection and topic classification
  • Product teams analyzing reviews — Provides actionable insight to users through entity extraction and custom classifier options
  • Analytics teams without ML expertise — Platform is no-code and delivers enterprise-grade text analytics
  • Companies using Zapier/Google Sheets — Integrates seamlessly into an existing tech stack

Not Suitable For

  • Solopreneurs and freelancers — Price ($299 per month) is too expensive for low volume needs. Consider using Deep Talk or Levity.
  • Budget-constrained startups — Prices are 202% higher than category averages. Consider using Keatext for $100 per month instead.
  • Teams needing image/document AI — Focuses solely on text-based data. Offers multi-modal capabilities through Levity.
  • One-off analysis projects — Poor fit for subscription model when used sporadically. Consider using open-source tools.

Are There Usage Limits or Geographic Restrictions for MonkeyLearn?

Query Limit (Team)
10,000 queries/month
Custom Models (Team)
3 models
Workflows (Team)
1 template workflow
Seats (Team)
3 seats
Analytics Dashboards (Team)
1 template dashboard
Free Plan
Trial Limitations
Row/query limits during trial period
Enterprise Features
Custom plans only - contact sales

Is MonkeyLearn Secure and Compliant?

Cloud-Based PlatformHosted SaaS solution with standard cloud security practices
API SecuritySecure API access for integrations with authentication required
Data ProcessingProcesses text data for ML model training and analysis
Third-Party IntegrationsSecure connections via Zapier, Google Sheets, CSV imports
Email SupportSupport channel for security and compliance inquiries

What Customer Support Options Does MonkeyLearn Offer?

Channels
Available for all usersDocumentation and community support
Hours
Business hours
Response Time
Good support noted in reviews, specific times not published
Satisfaction
Good (user reviews mention good support)
Support Limitations
•No live chat or phone support mentioned
•Free tier has limited support options
•Support primarily through email and documentation

What APIs and Integrations Does MonkeyLearn Support?

API Type
REST API with comprehensive endpoints for text analysis
Authentication
API Key authentication
Webhooks
Not mentioned in available sources
SDKs
No official SDKs mentioned; works with standard HTTP clients
Documentation
Available through developer portal
Integrations
Native integrations with Boost.space, Contentstack, and other platforms
Rate Limits
Plan-dependent limits (specifics not public)
Use Cases
Sentiment analysis, text classification, keyword extraction, real-time analysis

What Are Common Questions About MonkeyLearn?

MonkeyLearn is a no-code text analytics platform using AI to help extract insights from text data using machine learning. Sentiment analysis, keyword extraction, topic classification, and custom model creation are examples of how MonkeyLearn uses its AI to provide actionable insights.

Examples of key features include: Sentiment Analysis, Keyword Extraction, Topic Classification, Text Extraction, Customizable Machine Learning Models, API Access, Real-Time Analysis, User-Friendly Dashboard.

Yes, MonkeyLearn does offer a free trial with limited features. The free version has usage restrictions but provides a way to test core functionalities.

Yes, MonkeyLearn offers API access and integrates with other platforms such as Boost.space and Contentstack. MonkeyLearn also supports automating workflows for text analysis.

Yes, MonkeyLearn can analyze reviews, emails, social media posts, surveys, support tickets, etc., as long as they contain unstructured text from any source.

Yes, MonkeyLearn has a user-friendly interface and allows users to build their own machine learning models without needing coding skills. This makes it accessible to marketers, analysts, and other non-technical users.

MonkeyLearn has many language options such as English, Spanish, French, and Portuguese, etc., to enable text analysis globally.

A key advantage of MonkeyLearn is that it offers customizable no-code machine learning models along with an easy to use interface that is intended for both technical and non-technical users.

Is MonkeyLearn Worth It?

MonkeyLearn uses a no-code platform to provide advanced AI text analytics; this makes advanced NLP capabilities accessible to non-technical users. While MonkeyLearn is easy to use and customize, some users have commented on pricing and integration challenges. Best suited for small businesses and marketing teams that need rapid access to text-based insights.

Recommended For

  • Customer feedback and social media analysis by marketing teams
  • Small business needs for no-code text analytics without a data science team
  • Analysis of customer survey responses, support tickets, reviews
  • Non-technical users that require customized text analysis

!
Use With Caution

  • Enterprise teams that require more extensive integration options
  • Concerned with high volume pricing structures
  • Need to optimize performance

Not Recommended For

  • Budget-constrained start-ups - limitations of free tier
  • Customizing complex ML infrastructure requirements
  • Needs real-time, high frequency processing
Expert's Conclusion

MonkeyLearn is best for small business and marketing teams looking for simple, no-code text analytics to gain insight into their customers through customer feedback.

Best For
Customer feedback and social media analysis by marketing teamsSmall business needs for no-code text analytics without a data science teamAnalysis of customer survey responses, support tickets, reviews

What do expert reviews and research say about MonkeyLearn?

Key Findings

MonkeyLearn offers no-code AI text analytics for sentiment analysis, classification, and custom models. Offers a user friendly interface and API integrations for marketers and small business owners. Good support was noted, however only one or two channels were available to contact and there were some noted integration issues based on review comments.

Data Quality

Fair - information from review sites, integration pages, and marketing materials. Limited direct access to official support/API documentation and current pricing details.

Risk Factors

!
Recent information appears to be limited
!
Unclear how MonkeyLearn's support channels operate
!
Requires verification of pricing and current features
!
Some users noted limitations in terms of integration
Last updated: January 2026

What Are the Best Alternatives to MonkeyLearn?

  • •
    Google Cloud Natural Language API: Sentiment Analysis, Entity Recognition & Syntax Analysis; High Volume Scalable; Tech Setup Required; For Developers/Enterprises Building Solutions. (https://cloud.google.com)
  • •
    AWS Comprehend: Managed NLP Service with Sentiment, Key Phrase & Topic Modeling; Good for Enterprise Scale AWS Ecosystems; Pricing Complexity; Best for Cloud-Native Enterprises w/AWS Infrastructure. (https://aws.amazon.com)
  • •
    Lexalytics Semantria: Advanced Text Analytics w/Sentiment, Intent Detection & Theme Extraction; More Sophisticated Analytics at Higher Cost; Best for Enterprises Requiring Deep Linguistic Analysis. (http://www.lexalytics.com)
  • •
    MeaningCloud: Classification, Extraction & Sentiment Analysis through Text Analytics API; Lower Cost than Other Options; Good API Documentation; Best for Developers Building Custom Applications that Require Text Analysis. (http://www.meaningcloud.com)
  • •
    Rosette Text Analytics: Multilingual NLP Platform; Entity Extraction, Sentiment & Taxonomy; Excellent Support for Multiple Languages; Highest Cost Option; Best for Global Companies That Need to Analyze Content in Many Languages. (http://www.basistech.com)

What Are MonkeyLearn's Classification Accuracy?

75 %
Sentiment Classification
Up to 95 %
Custom Classifier Precision
Provided per prediction
Confidence Scores
High with sufficient training data %
F1 Score

What Supported Data Types Does MonkeyLearn Offer?

CSV Files

The primary upload format is typically CSV or Excel files.

Excel Spreadsheets

Basistech has native support for many languages.

Google Sheets

BasisTech has a direct integration option for many platforms.

Unstructured Text

Review of customer emails, online reviews, survey responses, customer support tickets.

JSON/API Data

BasisTech provides real-time processing capabilities using its API.

What Nlp Capabilities Does MonkeyLearn Offer?

Sentiment Analysis

BasisTech can provide positive, negative, neutral results with confidence scores.

Topic Classification

BasisTech offers both custom and pre-trained topic models.

Entity Extraction

BasisTech provides named entities, keywords, and feature extraction.

Intent Detection

BasisTech supports user intent classification.

Keyword Extraction

BasisTech will automatically identify keywords.

Language Detection

BasisTech's solution can analyze content in multiple languages.

Part of Speech Tagging

BasisTech's solution can grammatically categorize sentences.

Topic Clustering

BasisTech can group together similar topics automatically

What Is MonkeyLearn's Training Options?

Minimum Training Samples
50-100 examples per category recommended
Training Time
Minutes for small datasets
Custom Taxonomies
Yes, fully customizable categories
Active Learning
Supported through iterative training
Model Versioning
Yes, multiple model versions
No Coding Required
Graphical interface for model creation
Pre Trained Templates
Available for sentiment, keywords, etc.

What Integration Connectors Does MonkeyLearn Support?

ZapierGoogle SheetsExcelRapidMinerREST APIHootsuiteCSV ImportJSON API

What Are MonkeyLearn's Processing Specs?

1,000 rows
Free Tier Limit
High volume via API
Batch Processing
Real-time API
Response Time
Multiple per account
Concurrent Models
Unlimited with paid plans
Custom Models

What Compliance Certifications Does MonkeyLearn Have?

GDPRCloud-based compliance
SOC 2Enterprise feature
Data SecurityEncrypted processing
HIPAABAA available for healthcare
ISO 27001Standard cloud security

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