
Defined.ai
Founded Year
2015Stage
Debt | AliveTotal Raised
$81.9MLast Raised
$3.3M | 10 mos agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+2 points in the past 30 days
About Defined.ai
Defined.ai provides a range of pre-collected and structured training datasets, including text, voice, and image data, and hosts an online marketplace where these datasets can be bought, sold, or commissioned. Defined.ai caters to the AI development sector, providing data that aids in the creation of fair, accessible, and ethical AI solutions. The company was founded in 2015 and is based in Seattle, Washington.
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Expert Collections containing Defined.ai
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Defined.ai is included in 4 Expert Collections, including AI 100.
AI 100
100 items
Insurtech
4,363 items
Companies and startups that use technology to improve core and ancillary insurance operations. Companies in this collection are creating new product architectures, improving underwriting models, accelerating claims and creating a better customer experience
Fintech
9,304 items
Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.
Artificial Intelligence
6,888 items
Defined.ai Patents
Defined.ai has filed 4 patents.
The 3 most popular patent topics include:
- artificial intelligence
- artificial intelligence applications
- computational linguistics

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
11/17/2017 | 9/6/2022 | Crowdsourcing, Computer memory, Networking hardware, Network protocols, Computer networking | Grant |
Application Date | 11/17/2017 |
---|---|
Grant Date | 9/6/2022 |
Title | |
Related Topics | Crowdsourcing, Computer memory, Networking hardware, Network protocols, Computer networking |
Status | Grant |
Latest Defined.ai News
Oct 17, 2024
News Provided By Share This Article Data Annotation Tools Global Market Report 2024 – Market Size, Trends, And Global Forecast 2024-2033 The data annotation tools market size is expected to see exponential growth in the next few years. It will grow to $6.74 billion in 2028 at a compound annual growth rate (CAGR) of 29.8%.” — The Business Research Company LONDON, GREATER LONDON, UNITED KINGDOM, October 17, 2024 / EINPresswire.com / -- The data annotation tools market has experienced robust growth in recent years, expanding from $1.83 billion in 2023 to $2.37 billion in 2024 at a compound annual growth rate (CAGR) of 29.4%. The growth in the historic period can be attributed to rise in demand for annotated data, need for high-quality labeled data, regulatory compliance requirements, development of autonomous vehicles, focus on data quality and accuracy, global expansion of smart agriculture. What Is The Estimated Market Size Of The Global Data Annotation Tools Market And Its Annual Growth Rate? The data annotation tools global market is projected to continue its strong growth, reaching $6.74 billion in 2028 at a compound annual growth rate (CAGR) of 29.8%. The growth in the forecast period can be attributed to advancements in annotation automation, increasing adoption of federated learning, emphasis on active learning techniques, enhanced tools for handling 3d data, development of annotation tools for multimodal data, focus on cost-effective annotation solutions. Major trends in the forecast period include growing emphasis on computer vision, outsourcing of data annotation services, shift toward semi-supervised and self-supervised learning, crowdsourcing for large-scale annotation projects, collaboration features in annotation platforms. Explore Comprehensive Insights Into The Global Data Annotation Tools Market With A Detailed Sample Report: Growth Driver Of The Data Annotation Tools Market The rise of big data is expected to propel the growth of the data annotation tools market going forward. Big data refers to more diverse information that arrives in larger volumes and moves faster. The widespread use of big data in data annotation is due to the metrics that are employed in machine learning processes as they store, analyze, and manage bulk data. Make Your Report Purchase Here And Explore The Whole Industry's Data As Well: Which Market Players Are Steering the Data Annotation Tools Market Growth? Key players in the data annotation tools market include Annotate.com, Appen Limited, CloudApp, Cogito Tech LLC, Deep Systems, iMerit Technology Services Pvt. Ltd., Samasource Inc., Lionbridge Technologies Inc., Clickworker GmbH, CloudFactory Limited, Scale Inc., Amazon Web Services Inc., Playment Inc., Labelbox Inc., Neurala Inc., Webtunix AI, Hive CloudApp Inc., TagX, Anolytics, LightTag, Alegion Inc., DefinedCrowd Corporation, Edgecase AI, V7 Labs, Supervisely OÜ, Dataloop AI. What Are the Dominant Trends in Data Annotation Tools Market Overview? Technological advancement is a key trend gaining popularity in the market. Major market players are concentrating their efforts on creating innovative technologies to store and manage bulk data, such as mobile 3D point cloud data labeling. How Is The Global Data Annotation Tools Market Segmented? 1) By Type: Text, Image/Video, Audio 2) By Technology: Supervised, Semi-Supervised, Automatic 3) By Vertical: IT, Automotive, Government, Healthcare, Financial Services, Retail, Other Verticals Geographical Insights: North America Leading The Data Annotation Tools Market Asia Pacific was the largest region in the data annotation tools market in 2023. North America is expected to be the fastest-growing region in the data annotation tools global market report forecast period. The regions covered in the data annotation tools global market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. Data Annotation Tools Global Market Report 2024 from The Business Research Company covers the following information: • Market size data for the forecast period: Historical and Future •Macroeconomic factors affecting the market in the short and long run •Analysis of the macro and micro economic factors that have affected the market in the past five years • Market analysis by region: Asia-Pacific, China, Western Europe, Eastern Europe, North America, USA, South America, Middle East and Africa. • Market analysis by countries: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. An overview of the global data annotation tools market report covering trends, opportunities, strategies, and more The Data Annotation Tools Global Market Report 2024 by The Business Research Company is the most comprehensive report that provides insights on data annotation tools market size, data annotation tools market drivers and trends, major players, data annotation tools competitors' revenues, data annotation tools market positioning, and market growth across geographies. The data annotation tools global market report helps you gain in-depth insights into opportunities and strategies. Companies can leverage the data in the report and tap into segments with the highest growth potential. Browse Through More Similar Reports By The Business Research Company: Database, Storage & Backup Software Publishing Global Market Report 2024
Defined.ai Frequently Asked Questions (FAQ)
When was Defined.ai founded?
Defined.ai was founded in 2015.
Where is Defined.ai's headquarters?
Defined.ai's headquarters is located at 1201 3rd Avenue, Seattle.
What is Defined.ai's latest funding round?
Defined.ai's latest funding round is Debt.
How much did Defined.ai raise?
Defined.ai raised a total of $81.9M.
Who are the investors of Defined.ai?
Investors of Defined.ai include Evolution Equity Partners, Portugal Ventures, Bynd Venture Capital, Kibo Ventures, Hermes GPE and 12 more.
Who are Defined.ai's competitors?
Competitors of Defined.ai include Aya Data, Mindtech, Ydata, Snorkel AI, Tonic.ai and 7 more.
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Compare Defined.ai to Competitors

Labelbox develops 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.

CloudFactory 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 artificial intelligence (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, United Kingdom.

24x7offshoring specializes in data collection, data annotation, and localization services for various industries. The company offers a platform for artificial intelligence (AI) and machine learning data collection, data labeling, and outsourced services, as well as iterative AI training models. It caters to sectors such as science, technology, education, medical research, and public service. The company was founded in 2020 and is based in New Delhi, India.

Scale provides a data engine platform. The platform provides generative artificial intelligence (AI) strategies, including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise applications. It serves industries such as retail, electronic commerce, logistics, and more. Scale was formerly known as Scale Labs. It was founded in 2016 and is based in San Francisco, California.
Select Star develops an artificial intelligence data crowdsourcing platform. The company provides a service that performs client-requested data collection/semi-automatic labeling through the users of its mobile app Cash Mission, examining all tasks to ensure high-quality data. Select Star was founded in 2018 and is based in Daejeon, South Korea.

Hive provides cloud-based AI solutions in the fields of content understanding, search, and generation. The company offers a suite of pre-trained AI models and turnkey software for tasks such as content moderation, brand protection, and data labeling. Hive's technology is widely used in platform integrity, sponsorship measurement, and context-based advertising, among other applications. It was founded in 2013 and is based in San Francisco, California.
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