Labelbox
Founded Year
2018Stage
Series D | AliveTotal Raised
$188.9MValuation
$0000Last Raised
$110M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+35 points in the past 30 days
About Labelbox
Labelbox provides services and software for artificial intelligence (AI) data management and model evaluation within the artificial intelligence and machine learning sectors. The company offers managed labeling services, a platform for building data factories, and a network for hiring experienced AI trainers. Labelbox serves AI teams and organizations seeking to improve their model training and evaluation. It was founded in 2018 and is based in San Francisco, California.
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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.
The data annotation market provides services for labeling large volumes of data in preparation for training AI and ML models. This market comprises solutions for text, image, video, and audio annotation, with offerings ranging from fully managed human annotation services to AI-assisted automation platforms. Companies in this market serve enterprises across healthcare, automotive, retail, and techn…
Labelbox named as Outperformer among 15 other companies, including Scale, Snorkel AI, and TELUS International.
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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Research containing Labelbox
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Labelbox in 6 CB Insights research briefs, most recently on Feb 20, 2024.
Feb 20, 2024
The AI training data market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Jul 31, 2023
The data quality market map
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.
Artificial Intelligence
7,221 items
Labelbox Patents
Labelbox has filed 4 patents.
The 3 most popular patent topics include:
- google services
- artificial intelligence
- artificial neural networks
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
Feb 21, 2025
The UV Open Source Data Labelling Tool Market is expected to grow at a significant growth rate, and the analysis period is 2024-2032, considering base year as 2023. Get Sample PDF of Open Source Data Labelling Tool Market with Complete TOC, Tables & Figures @ https://www.imrmarketreports.com/request/85342 Market segmentation The Open Source Data Labelling Tool market is segmented by type and application. Growth between segments over the period 2024-2032 provides accurate calculations and forecasts of revenue by type and application in terms of volume and value. This analysis can help you expand your business by targeting eligible niches. Open Source Data Labelling Tool Market Segmentation: By Type Outlook: Cloud-based, On-premise By Application Outlook: IT, Automotive, Healthcare, Financial, Others By Region Outlook: North America (U.S., Canada, Mexico) Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe) Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC) Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA) South America (Brazil, Argentina, Rest of SA) Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2024-2032 & Sales with a thorough analysis of the markets competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors. Key Prominent Players In The Open Source Data Labelling Tool Market: Alegion, Amazon Mechanical Turk, Appen Limited, Clickworker GmbH, CloudApp, CloudFactory Limited, Cogito Tech, Deep Systems LLC, Edgecase, Explosion AI, Heex Technologies, Labelbox, Lotus Quality Assurance (LQA), Mighty AI, Playment, Scale Labs, Shaip, Steldia Services, Tagtog, Yandex LLC, CrowdWorks and Regional Market Analysis: The report includes Global & Regional market status and outlook 2024-2032. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications. Market Trends: Market key trends which include Increased Competition and Continuous Innovations Opportunities and Drivers: Identifying the Growing Demands and New Technology Discount on the Research Report @ https://www.imrmarketreports.com/discount/85342 Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry. What can be explored with the Open Source Data Labelling Tool Market Study? • Gain Market Understanding • Identify Growth Opportunities • Analyse and Measure the Global Open Source Data Labelling Tool Market by Identifying Investment across various Industry Verticals • Understand the Trends that will drive Future Changes in Open Source Data Labelling Tool • Understand the Competitive Scenarios - Track Right Markets - Identify the Right Verticals Strategic Points Covered in Table of Content of Open Source Data Labelling Tool Market: Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Open Source Data Labelling Tool market Chapter 2: Exclusive Summary - the basic information of the Open Source Data Labelling Tool Market. Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Open Source Data Labelling Tool Chapter 4: Presenting the Open Source Data Labelling Tool Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis. Chapter 5: Displaying the by Type, End User and Region/Country 2019-2023 Chapter 6: Evaluating the leading manufacturers of the Open Source Data Labelling Tool market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2024-2032) Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source Click On Link And Purchase This Report: - https://www.imrmarketreports.com/checkout/?user=1&id=85342 Contact us: Vishwanath K (PR & Marketing Manager) IMR Market Reports Phone: +91-81800-96367 Email: sales@imrmarketreports.com Web: www.imrmarketreports.com About IMR Market Reports IMR Market Reports an Innovative Market Research Company IMR Market Reports is a visionary market research company who is ready to assist their clients to grow their business by offering strategies through our market research reports for gaining success. We have a well experienced team, who work efficiently and provides complete excellent research data in a complete sync to provide overall coverage and accurate market insights on various industries. We are more than just a market research firm; we are solution providers. We are complete solution providers. We help you in your business decisions. We known for quality with unique reports. Phone: +91-74101-03736 Phone: +91-81800-96367 Email: info@imrmarketreports.com
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, B Capital, Catherine Wood, SnowPoint Ventures, SoftBank and 9 more.
Who are Labelbox's competitors?
Competitors of Labelbox include SuperAnnotate, V7, LatticeFlow, Aya Data, Mindtech 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
CloudFactory is a company that operates within the artificial intelligence sector, providing data annotation, model monitoring, and oversight services. They offer services to aid in the development and deployment of AI models for various industries. It was founded in 2010 and is based in Reading, England.
Sama specializes in providing high-accuracy data annotation solutions for the development of computer vision AI models across various industries. The company offers a suite of services, including image and video annotation, 3D point cloud labeling, and data validation, to support machine learning professionals and AI team leads. Sama primarily serves sectors such as ADAS and autonomous vehicles, retail and e-commerce, consumer tech and media, robotics and manufacturing, and agriculture and food. It was founded in 2008 and is based in San Francisco, California.
24x7Offshoring is involved in artificial intelligence (AI) and machine learning workflows within the technology sector. The company provides services for data collection, data labeling, localization, and outsourced services, with a focus on AI training models. It serves sectors such as science, technology, education, medical research, and public service. It was founded in 2020 and is based in New Delhi, India.
Defined.ai is a company focused on providing AI data solutions within the artificial intelligence and machine learning sectors. It offers a marketplace for training data, including multilingual speech recognition, natural language processing annotations, and medical imaging datasets, for AI solution development. The company serves sectors that require data for machine learning projects, such as technology, healthcare, and finance. It was founded in 2015 and is based in Seattle, Washington.
Snorkel AI specializes in data-centric artificial intelligence solutions for the enterprise domain. The company offers an AI data development platform that enables the development of AI applications by programmatically labeling and curating data, fine-tuning large language models, and building specialized AI models. It primarily serves sectors such as banking, healthcare, government, insurance, and telecom with its AI technology. The company was founded in 2019 and is based in Redwood City, California.
Alegion focuses on data annotation and collection services and operates within the artificial intelligence and machine learning industry. The company offers services such as data collection, data annotation, and quality control, aimed at transforming unstructured data into high-quality, model-ready training data. Alegion primarily serves sectors such as healthcare, hospitality, insurance, manufacturing, retail, security, software, and sports. It was founded in 2012 and is based in Austin, Texas.
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