MonkeyLearn

MonkeyLearn

MonkeyLearn is an artificial intelligence data analysis and visualization platform.

Overview

MonkeyLearn is a San Francisco-based artificial intelligence (AI) company founded by Raúl Garreta, Ernesto Rodriguez, Federico Pascual, and Martín Alcalá Rubí in 2014. MonkeyLearn developed an AI for text and data analysis for mid-level enterprise companies looking to organize data. MonkeyLearn originated as an API-driven machine learning tool but shifted to a no-code interface when several organizations expressed interest in using the product and lacked the coding engineering staff to implement the technology.

Product

The MonkeyLearn AI product automates text analysis, which reduces manual data entry work for employees. It can be used to sort ticket claims, inquiries, topic detection, and more through training the AI by uploading data fields. In an interview/ review by TechCrunch, the process of training the AI and uploading data was compared to uploading a spreadsheet with keywords. According to MonkeyLearn, the AI training process takes only a few minutes and then can be set to work on a full data set. The company currently offers the product in varying tiers, including a freemium option.

MonkeyLearn Studio

MonkeyLearn Studio is a data visualization dashboard for turning insights into visual representations. Business data can be tagged to automate data tracking processes and visualize actionable insights and trends at scale through one dashboard screen. The platform comes equipped with pre-developed machine learning models, but companies can also build custom machine learning models and train the AI without additional coding.

MonkeyLearn API

The MonkeyLearn API is the company's flagship product that offers a tooling suite for developers to integrate text analysis into desktop and mobile applications. The API can work for topic classification, sentiment analysis, and entity extraction, while developers can use it to import data, define tags, and train new user interface models.

MonkeyLearn WordCloud

The MonkeyLearn WordCloud is an AI-powered word cloud generator used to analyze data with AI for insights. The word cloud can be integrated with surveys or Twitter to analyze keywords regarding a company's product or other offerings. The word clouds can be used for and by the marketing and advertising departments and customized with company-specific branding.

Timeline

July 7, 2020
MonkeyLearn raises $2.2M to build out its no-code AI text analysis service
September 29, 2014
MonkeyLearn Launches Machine Learning Platform API
September 8, 2014
MonkeyLearn launches today to become the WordPress of text-mining

Today, a startup called MonkeyLearn is releasing the beta version of a cloud-based artificial intelligence platform that it hopes can do for text mining what WordPress did for websites and blogs.

Funding rounds

Funding round
Funding type
Funding round amount (USD)
Funding round date
Investment
MonkeyLearn Seed round, July 2020
2,200,000
July 2020
4 Results
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People

Name
Role
LinkedIn

‌Ernesto Rodriguez

Founder

Further reading

Title
Author
Link
Type
Date

Claris Connect Gets New Third-Party App Integrations - The Mac Observer

Charlotte Henry

Web

October 29, 2020

Here are the 34 companies that presented at 500 Startups' Batch 14 demo day

Ken Yeung

Web

October 31, 2015

MonkeyLearn leverages machine learning for rapid text analysis

Carolina Zepeda

Web

October 11, 2019

Top 10 500 Startups Batch 14 Startups - Sorted By The Growth Score - Mattermark

Nick Frost

Web

October 30, 2015

Documentaries, videos and podcasts

Title
Date
Link

Companies

Company
CEO
Location
Products/Services

News

Title
Author
Date
Publisher
Description
Alex Wilhelm
July 7, 2020
TechCrunch
A few years back, startups focusing on artificial intelligence had a whiff of bullshit about them; venture capitalists became inured to young tech companies claiming that their new AI-powered product was going to change the world as hype exceeded product reality. But in the time since, AI-powered startups have matured into real companies, with investors [...]

References

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