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Founded Year

2018

Stage

Series D | Alive

Total Raised

$188.9M

Valuation

$0000 

Last Raised

$110M | 2 yrs ago

About Labelbox

Labelbox offers a training data platform for machine learning teams to build real-world artificial intelligence (AI) solutions. The platform consists of label editor tools for batch, and real-time labeling workflows, collaboration, quality review, analytics, and more. It serves the government, retail, insurance, manufacturing, and healthcare sectors. It was founded in 2018 and is located in San Francisco, California.

Headquarters Location

510 Treat Avenue

San Francisco, California, 94110,

United States

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Labelbox's Product Videos

ESPs containing Labelbox

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / BI & Operational Intelligence

The data annotation market provides services for labeling large volumes of data in preparation for training AI and ML models. This market comprises both text and image & video annotation services. Most companies employ human annotators to classify and label datasets, with some offering AI-powered automation tools to speed up the process.

Labelbox named as Leader among 15 other companies, including Scale, Flywheel, and Sama.

Labelbox's Products & Differentiators

    Training Data Platform

    An end-to-end solution that allows you to search, analyze, annotate and optimize your all in a single place.

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Expert Collections containing Labelbox

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Labelbox is included in 1 Expert Collection, including Artificial Intelligence.

A

Artificial Intelligence

10,987 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Labelbox Patents

Labelbox has filed 4 patents.

The 3 most popular patent topics include:

  • google services
  • artificial intelligence
  • artificial neural networks
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/3/2022

7/18/2023

Google services, Web applications, Cloud applications, Content management systems, Social networking services

Grant

Application Date

2/3/2022

Grant Date

7/18/2023

Title

Related Topics

Google services, Web applications, Cloud applications, Content management systems, Social networking services

Status

Grant

Latest Labelbox News

Patterson to bid Gradient Ventures farewell

Nov 29, 2023

Patterson to bid Gradient Ventures farewell Nov 29, 2023 • Edison Fu GCV Powerlist member Anna Patterson has announced her departure from Alphabet’s AI fund at the end of 2023. Anna Patterson is set to depart from internet technology group Alphabet’s artificial intelligence fund, Gradient Ventures, at the end of the year. Patterson helped found Gradient Ventures in 2017 , taking up the managing partner position. She sat on boards of portfolio companies including AI-based web app creation platform Streamlit, software troubleshooting service UnitQ and Labelbox, which provides AI training technology. Patterson joined Google, Gradient’s predecessor company, in 2004 as director of engineering, a position she held for three years. She then held a three-year stint as co-founder and president at search engine operator Cuil before returning to Google in a vice president of engineering role. “We founded Gradient Ventures in the hopes that Google’s strength in AI would resonate with AI founders. When we made our first investments into Algorithmia and Lambda Labs, the attention paper had not yet been published,” Patterson said in a statement. “We have over $1bn under management in more than 150 remarkable seed and series A companies, such as Streamlit, UnitQ, and Labelbox and over 147 others. Seeing the AI ecosystem grow has been an amazing journey and I am immensely proud of what we have built together.” Patterson did not disclose where she is going next or give details of her successor at Gradient Ventures. Global Corporate Venturing included Patterson in its Powerlist in 2018 and 2019 . Edison Fu

Labelbox Frequently Asked Questions (FAQ)

  • When was Labelbox founded?

    Labelbox was founded in 2018.

  • Where is Labelbox's headquarters?

    Labelbox's headquarters is located at 510 Treat Avenue, San Francisco.

  • What is Labelbox's latest funding round?

    Labelbox's latest funding round is Series D.

  • How much did Labelbox raise?

    Labelbox raised a total of $188.9M.

  • Who are the investors of Labelbox?

    Investors of Labelbox include Andreessen Horowitz, Catherine Wood, B Capital Group, Databricks Ventures, SnowPoint Ventures and 8 more.

  • Who are Labelbox's competitors?

    Competitors of Labelbox include Ango AI, AIMMO, Datasaur, Cognaize, Gradient Health and 7 more.

  • What products does Labelbox offer?

    Labelbox's products include Training Data Platform and 4 more.

  • Who are Labelbox's customers?

    Customers of Labelbox include Genentech, NASA / Jet Propulsion Laboratory, CAPE Analytics and Newmetrix.

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Compare Labelbox to Competitors

Scale Logo
Scale

Scale provides a data engine platform. The platform provides generative artificial intelligence (AI) strategy including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise applications. It serves industries such as retail, electronic commerce, logistics, and more. It was founded in 2016 and is based in San Francisco, California.

Snorkel AI Logo
Snorkel AI

Snorkel AI focuses on data-centric artificial intelligence in the technology sector. The company offers an AI data development platform that enables programmatic labeling and curation of data to accelerate AI development, fine-tune large language models, and distill models for use in production applications. It primarily serves sectors such as banking, healthcare, government, insurance, and telecom. Snorkel AI was founded in 2019 and is based in Redwood City, California.

CloudFactory Logo
CloudFactory

CloudFactory is a company that focuses on providing workforce solutions for machine learning and business process optimization. The company offers services such as data labeling, accelerated annotation, and human-in-the-loop automation, which support workflows and fill gaps in AI and automation. CloudFactory primarily serves sectors such as the autonomous vehicles industry, finance, healthcare, insurance, and retail. It was founded in 2010 and is based in Reading, England.

Dbrain Logo
Dbrain

Dbrain is a company that specializes in the field of artificial intelligence, with a focus on document recognition and conversion. The company offers services that extract data from documents, including passports, bank cards, and other official documents, using artificial intelligence to transform these documents into digital data. This service primarily caters to sectors such as insurance, credit lending, employment, client identification, and taxation. It is based in Moscow, Russian Federation.

Sama Logo
Sama

Sama provides training data for artificial intelligence (AI) and machine learning (ML) algorithms. It focuses on video, image, language, and sensor data annotations and validation. The company provides its service to a wide range of industries such as media, technology, retail, agriculture, and transportation. It was formerly known as Samasource. The company was founded in 2008 and is based in San Francisco, California.

Defined.ai Logo
Defined.ai

Defined.ai is a company that focuses on providing high-quality and ethical data for Artificial Intelligence applications, operating within the AI data marketplace industry. The company offers a wide range of pre-collected and structured training datasets, including text, voice, and image data, which are used to train AI models. These datasets are available for purchase, sale, or commission through their online marketplace. Additionally, Defined.ai provides professional services to assist with complex machine learning projects. It was founded in 2015 and is based in Seattle, Washington.

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