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MonkeyLearn

Full company profile

uuid0000gb8

Namestring
MonkeyLearn
Websiteurl
monkeylearn.com
Company typeenum
Private
Founded yearint
2014
Descriptiontext

MonkeyLearn, founded in 2014 and headquartered in San Francisco, is a no-code machine learning platform that delivers AI-powered text analysis and sentiment analysis for enterprise customers. The platform's core technology combines natural language processing with a no-code interface that allows non-technical business users to build, train, and deploy text classification and sentiment models, addressing pain points around siloed communication channels and the lack of system integration in customer feedback workflows. The company's primary target segment is enterprise customer experience teams, with use cases including monitoring customer feedback across channels and providing real-time guidance to service representatives.

MonkeyLearn operates a B2B SaaS business model with subscription-based recurring revenue and a sales-led, direct enterprise go-to-market motion. Its distribution is global via direct enterprise sales, and it positions itself within the broader AI-as-a-Service and no-code AI platform markets, where it is referenced alongside major players such as IBM, AWS, Microsoft, and Google. The company has raised approximately $3.2M in disclosed equity funding across rounds in 2014, 2015, 2017, and 2020 from investors including 500 Global, IC Ventures, Garuda Ventures, Blue Note Ventures, v1.vc, Bling Capital, and Uncork Capital, with a $1M Silicon Valley Bank facility in November 2021 as the most recent capital event.

The company is led by co-founder and CEO Raul Garreta and currently operates with a 1-10 person team. ServiceNow has referenced MonkeyLearn within its customer experience ecosystem alongside XM Discover and Zenarate, indicating channel or integration co-positioning. Pricing is not publicly disclosed, no patents, certifications, or formal product integrations are listed in available sources, and no recent product launches, leadership changes, or geographic expansions are documented in the provided data.

Short descriptiontext

MonkeyLearn is a no-code machine learning platform that provides AI-powered text analysis and sentiment analysis to enterprise customer experience teams, automating feedback monitoring and business workflows via subscription SaaS.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
text analysis software, sentiment analysis platform, no-code machine learning, AI-as-a-Service, customer feedback analytics
Industry2 codes
1AutoML & Low-Code ML Platform Operations
CodeHDAAABALPrimaryYes
2Question Answering & Retrieval-Augmented Generation (RAG)
CodeHDAAADACPrimaryNo
NAICS code1 code
  • Computer Training611420
Product category
Text & Sentiment Analytics Software
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1SaaS Platform Subscription
TypeSubscription Recurring
Description

MonkeyLearn operates as an AI-as-a-Service platform offering subscription-based access to its no-code machine learning tools for text and sentiment analysis

servicenow.com
Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

MonkeyLearn is a no-code AI-as-a-Service platform that provides machine learning-based text analysis and sentiment analysis tools. It enables enterprises to automate business workflows by monitoring customer feedback across channels and delivering real-time guidance to service representatives, replacing hours of manual data processing with automated NLP capabilities.

Differentiator
Functional benefit
Problem solved
Product and service1 record
1MonkeyLearn No-Code Text & Sentiment Analysis Platform
CategoryAI / Text Analytics Software
Description

SaaS platform that enables enterprise companies to automate business workflows through no-code AI-powered text analysis and sentiment analysis, allowing customer experience teams to monitor feedback across channels, replace hours of manual data processing, and deliver real-time guidance to service representatives.

Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
1ServiceNow
Strategic tierCoreTypeTechnology or Integration
Description

MonkeyLearn is positioned alongside XM Discover and Zenarate as an AI-powered platform that helps companies proactively address customer pain points. ServiceNow's survey of C-level executives highlights MonkeyLearn as an emerging solution for customer experience management, indicating integration or co-positioning within the ServiceNow ecosystem.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight2 records

Each record includes

Type, Description

Market position
Competitive moat2 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Feature2 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds6 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors10 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

MonkeyLearn

Text & Sentiment Analytics Softwaremonkeylearn.com

MonkeyLearn is a no-code machine learning platform that provides AI-powered text analysis and sentiment analysis to enterprise customer experience teams, automating feedback monitoring and business workflows via subscription SaaS.

What MonkeyLearn does

MonkeyLearn, founded in 2014 and headquartered in San Francisco, is a no-code machine learning platform that delivers AI-powered text analysis and sentiment analysis for enterprise customers. The platform's core technology combines natural language processing with a no-code interface that allows non-technical business users to build, train, and deploy text classification and sentiment models, addressing pain points around siloed communication channels and the lack of system integration in customer feedback workflows. The company's primary target segment is enterprise customer experience teams, with use cases including monitoring customer feedback across channels and providing real-time guidance to service representatives.

MonkeyLearn operates a B2B SaaS business model with subscription-based recurring revenue and a sales-led, direct enterprise go-to-market motion. Its distribution is global via direct enterprise sales, and it positions itself within the broader AI-as-a-Service and no-code AI platform markets, where it is referenced alongside major players such as IBM, AWS, Microsoft, and Google. The company has raised approximately $3.2M in disclosed equity funding across rounds in 2014, 2015, 2017, and 2020 from investors including 500 Global, IC Ventures, Garuda Ventures, Blue Note Ventures, v1.vc, Bling Capital, and Uncork Capital, with a $1M Silicon Valley Bank facility in November 2021 as the most recent capital event.

The company is led by co-founder and CEO Raul Garreta and currently operates with a 1-10 person team. ServiceNow has referenced MonkeyLearn within its customer experience ecosystem alongside XM Discover and Zenarate, indicating channel or integration co-positioning. Pricing is not publicly disclosed, no patents, certifications, or formal product integrations are listed in available sources, and no recent product launches, leadership changes, or geographic expansions are documented in the provided data.

MonkeyLearn firmographics

Firmographics
Name
MonkeyLearn
Website
https://monkeylearn.com
Company type
Private
Founded year
2014
Operating status
Operating
Headcount range
1–10 employees
Short description
MonkeyLearn is a no-code machine learning platform that provides AI-powered text analysis and sentiment analysis to enterprise customer experience teams, automating feedback monitoring and business workflows via subscription SaaS.
Ownership category
akta.pro rank

MonkeyLearn industry classification

Industry
Product category
Text & Sentiment Analytics Software
NAICS
Computer Training (611420)
akta.pro primary industry
AutoML & Low-Code ML Platform Operations (HDAAABAL)
akta.pro secondary industry
Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC)

Keywords

  • Text analysis software
  • Sentiment analysis platform
  • No-code machine learning
  • AI-as-a-Service
  • Customer feedback analytics

Where MonkeyLearn is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Markets served

MonkeyLearn business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. SaaS Platform Subscription: MonkeyLearn operates as an AI-as-a-Service platform offering subscription-based access to its no-code machine learning tools for text and sentiment analysis

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

MonkeyLearn product offering

Product offering

Core offering

MonkeyLearn is a no-code AI-as-a-Service platform that provides machine learning-based text analysis and sentiment analysis tools. It enables enterprises to automate business workflows by monitoring customer feedback across channels and delivering real-time guidance to service representatives, replacing hours of manual data processing with automated NLP capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

  • MonkeyLearn No-Code Text & Sentiment Analysis Platform SaaS platform that enables enterprise companies to automate business workflows through no-code AI-powered text analysis and sentiment analysis, allowing customer experience teams to monitor feedback across channels, replace hours of manual data processing, and deliver real-time guidance to service representatives.

Companies that use MonkeyLearn

Customer profile

Named customers1 record

Segments1 record

Ideal customer profiles1 record

MonkeyLearn technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature2 records

MonkeyLearn partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • ServiceNowcoreTechnology or IntegrationMonkeyLearn is positioned alongside XM Discover and Zenarate as an AI-powered platform that helps companies proactively address customer pain points. ServiceNow's survey of C-level executives highlights MonkeyLearn as an emerging solution for customer experience management, indicating integration or co-positioning within the ServiceNow ecosystem.

Scale indicators3 records

Recent moves5 records

Expansion highlights2 records

MonkeyLearn competitors and assessment

Company assessment

Market position

Competitive moat2 records

Key risks6 records

Key highlights6 records

Customer concentration

MonkeyLearn social profiles

Digital presence

MonkeyLearn financial estimates

Financial estimate

Revenue estimate

Valuation estimate

MonkeyLearn leadership team

Management profile

Number of profiles

Profiles1 record

MonkeyLearn funding detail

Funding detail

Funding overview

Funding rounds6 records

Investors10 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

MonkeyLearn M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about MonkeyLearn

What does MonkeyLearn do?

MonkeyLearn is a no-code AI-as-a-Service platform that provides machine learning-based text analysis and sentiment analysis tools. It enables enterprises to automate business workflows by monitoring customer feedback across channels and delivering real-time guidance to service representatives, replacing hours of manual data processing with automated NLP capabilities.

Is MonkeyLearn a public or private company?

MonkeyLearn is a private company. It is classified as venture growth investor backed and is currently operating.

When was MonkeyLearn founded?

MonkeyLearn was founded in 2014. It employs 1 to 10 people.

Where is MonkeyLearn based?

MonkeyLearn is headquartered in San Francisco, United States, in the North America region.

How does MonkeyLearn make money?

One revenue line is on record: saaS Platform Subscription.

Does MonkeyLearn have an API?

No public API is recorded for MonkeyLearn.

What industry is MonkeyLearn in?

MonkeyLearn's product category is Text & Sentiment Analytics Software. Its primary akta.pro industry code is HDAAABAL, AutoML & Low-Code ML Platform Operations, with a secondary code of HDAAADAC, Question Answering & Retrieval-Augmented Generation (RAG). Its NAICS code is 611420.

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Live signals
Sentisum5 Best AI Sentiment Analysis Tools 2026This article presents a buyer's guide ranking the five best AI sentiment analysis tools for 2026: SentiSum, MonkeyLearn, Brandwatch, Qualtrics XM Discover, and Medallia. The guide evaluates each platform on key capabilities including real-time sentiment detection, root-cause analysis, predictive churn identification, multi-channel integration, and pricing structures. The article argues that modern AI-native tools have moved beyond basic keyword matching to contextual understanding powered by LLMs, enabling businesses to identify customer frustrations before they drive churn.Read how ServiceNow makes the world work better for everyone.The persistently unsatisfied customerA ServiceNow and ThoughtLab global survey of 1,000 C-level executives found that while digital transformation investments in customer experience (CX) provide benefits like deeper customer insights and improved retention, the vast majority of respondents saw little to no reduction in customer complaints. Experts quoted in the article cite siloed communication channels, lack of system integration, and customer preference for human interaction over chatbots as key reasons why digitization alone has failed to resolve customer dissatisfaction. The article highlights AI-powered platforms like XM Discover, Zenarate, and MonkeyLearn as emerging solutions that can help companies proactively address customer pain points by monitoring feedback across channels and providing real-time guidance to service representatives.Sentisum5 Best Conversation Analytics Tools in 2025The article presents a comparative review of five AI-powered conversation analytics tools for 2025: SentiSum, MonkeyLearn, Qualtrics, and Idiomatic. It outlines key selection criteria for customer support leaders, including cross-channel integration, insight accuracy, usability, and tech stack compatibility. The piece highlights specific features and user ratings for each platform to help organizations choose the appropriate software for improving customer satisfaction.VocalTop Machine Learning Solutions for Small BusinessesSeven machine learning platforms are presented as affordable, no-code solutions for small businesses, including Google Cloud AutoML, Azure ML Studio, Amazon SageMaker JumpStart, MonkeyLearn, BigML, H2O.ai, and Levity. The platforms offer drag-and-drop interfaces, pre-built models, and integrations for tasks like text analysis, forecasting, and fraud detection. A simple roadmap for getting started is provided.Insight7How AI-Powered Sentiment Analysis Enhances Call Center Customer ServiceThe article promotes the 'Sentiment Intelligence Booster' as a tool for enhancing call center customer service through real-time AI-powered sentiment analysis. It outlines implementation strategies, including staff training and system optimization, while highlighting specific technology providers such as MonkeyLearn, Lexalytics, IBM Watson, and Aylien. The content emphasizes how these tools help organizations improve customer satisfaction and operational efficiency.FilevineLegal Predictive Analysis and the Future of Intake ManagementAn explainer article describes how legal predictive analysis, using machine learning and historical case data, can forecast case outcomes, identify correlations, and generate case quality scores to guide intake and litigation strategy. It cites sentiment analysis tools such as Idiomatic and MonkeyLearn, voice analysis platforms like Tethr and Dialpad, and LeadsAI's model trained on over 10 million motor vehicle accident, motorcycle and trucking leads.TechCrunchMessaging Apps And Revenge Of The Computer Science NerdThe article argues that messaging apps are emerging as the superior user interface by replacing complex web and mobile designs with simple text-based interactions. It highlights how machine learning technologies from companies like Facebook, IBM, wit.ai, and MonkeyLearn are enabling the automation of these conversational services. This shift is predicted to restore focus on computer science fundamentals by prioritizing data structuring over front-end design.