Scale
Founded Year
2016Stage
Corporate Minority | AliveTotal Raised
$16.403BValuation
$0000Last Raised
$14.8B | 3 mos agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+29 points in the past 30 days
About Scale
Scale provides data labeling, model training, and curation services for artificial intelligence (AI) applications, along with a generative AI platform that uses enterprise data to improve AI models. Scale serves the technology sector, government agencies, and the automotive industry. It was formerly known as Scale Labs. The company was founded in 2016 and is based in San Francisco, California.
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Scale's Product Videos
ESPs containing Scale
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The defense & national security AI copilots market employs AI technologies to support decision-making, operational efficiency, and strategic planning in defense and security sectors. These AI copilots assist military personnel and security analysts by providing real-time data analysis, threat detection, intelligence gathering, and mission planning. They automate routine tasks, offer predictive ins…
Scale named as Highflier among 15 other companies, including Palantir, Microsoft, and Google.
Scale's Products & Differentiators
Scale Rapid
Scale Rapid is self-serve, on-demand labeling to train AI with high quality ground truth data and enables machine learning engineers and researchers to receive high quality labels and instruction feedback in a matter of hours and scale to production volumes in days. With Rapid, customers can create their labeling projects, upload data labeling via UI or API, design and submit their labeling instructions and direct quality improvements with new or updated evaluation tasks. This allows customers to unlock early AI/ML prototyping as well as more insight and control over the labeling workflow, as customers can receive prompt feedback on labeling instructions and potential edge cases for rapid iteration.
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Research containing Scale
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Scale in 22 CB Insights research briefs, most recently on Aug 28, 2025.
Aug 25, 2025 report
State of Tech Exits H1’25
Aug 22, 2025
The top angel investors in AI
Aug 14, 2025
310+ AI companies transforming government
Jul 31, 2025 report
State of AI Q2’25 Report
Jul 10, 2025 report
State of Venture Q2’25 Report
Expert Collections containing Scale
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Scale is included in 6 Expert Collections, including Auto Tech.
Auto Tech
2,557 items
Companies working on automotive technology, which includes vehicle connectivity, autonomous driving technology, and electric vehicle technology. This includes EV manufacturers, autonomous driving developers, and companies supporting the rise of the software-defined vehicles.
Unicorns- Billion Dollar Startups
1,286 items
Tech IPO Pipeline
539 items
Track and capture company information and workflow.
AI 100 (All Winners 2018-2025)
100 items
Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.
Generative AI
2,793 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
10,195 items
Scale Patents
Scale has filed 18 patents.
The 3 most popular patent topics include:
- artificial neural networks
- computer vision
- molecular biology
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
1/14/2022 | 2/25/2025 | Global Positioning System, Live-preview digital cameras, Color space, GPS navigation devices, Avionics | Grant |
Application Date | 1/14/2022 |
|---|---|
Grant Date | 2/25/2025 |
Title | |
Related Topics | Global Positioning System, Live-preview digital cameras, Color space, GPS navigation devices, Avionics |
Status | Grant |
Latest Scale News
Sep 8, 2025
16岁创业，22岁做成百亿独角兽，3位高中同学帮大厂训AI年入1亿美金 6月，Meta开出天价薪酬，对OpenAI、谷歌、xAI等AI公司展开「闪电挖角行动」，并于6月末，成立了MSL（Meta Superintelligence Labs）。 在此期间，Meta豪掷143亿美元收购Scale AI49%股份，该交易完成后Scale AI CEO Alexandr Wang加盟Meta担任首席AI官，领导新成立的MSL。 这场震动行业的并购，让与Scale AI同为数据标注赛道的Brendan Foody，看到了自己的机会，他称： 6月份，是一个足以改变一切的日子。 当看到最大竞争对手Scale AI一夜之间被收购，Foody在惊讶之余，认为这是一个好机会： 彭博社的报道，印证了Foody的推测。 三个22岁小哥，帮着大厂训练模型 Mercor，最初是一家提供简历自动筛选与AI面试评估的公司。 Midha担任Mercor首席运营官，Hiremath是首席技术官。 现在，据《The Information》最新报道，Mercor的估值再次刷新，已经到了100亿美金。 和半年前相比，又增加了5倍！ 上个月，Mercor还聘请了前Uber产品负责人Sundeep Jain出任公司首任总裁。 2024年，Mercor首次亮相《福布斯》Cloud 100 榜单，排名第 89 位。这是福布斯面对全球顶级未上市云计算公司发布的一个榜单。 Mercor表示，其年度化营收达已到1亿美元，上半年已实现了600万美元利润，过去六个月每月增长近60%。 据CB Insights公布的AI agent相关公司中，到达1亿美金收入的公司包括Glean、Replit、Mercor和Lovable 但是，最初Mercor的创业构想并非如此。
Scale Frequently Asked Questions (FAQ)
When was Scale founded?
Scale was founded in 2016.
Where is Scale's headquarters?
Scale's headquarters is located at 303 2nd Street, San Francisco.
What is Scale's latest funding round?
Scale's latest funding round is Corporate Minority.
How much did Scale raise?
Scale raised a total of $16.403B.
Who are the investors of Scale?
Investors of Scale include Meta, Y Combinator, Accel, Index Ventures, Tiger Global Management and 56 more.
Who are Scale's competitors?
Competitors of Scale include Domino, Selectstar, Snorkel AI, Nimblemind, Centific and 7 more.
What products does Scale offer?
Scale's products include Scale Rapid and 4 more.
Who are Scale's customers?
Customers of Scale include Brex, iRobot, Flexport, Toyota Research Institute (TRI) and U.S. Air Force.
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Compare Scale to Competitors
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.
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.
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.
Datasaur specializes in NLP data labeling and LLM development platforms. It offers a suite of tools for customizable data annotation, quality control management, and automation to enhance the efficiency of NLP and LLM projects. Datasaur's products are designed to meet the complex needs of industries such as legal, healthcare, financial, media, e-commerce, and government. It was founded in 2019 and is based in Livermore, 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 operates within the artificial intelligence (AI) and machine learning sectors and provides a marketplace for various datasets, including multilingual speech and natural language processing data, as well as medical image analysis and content moderation resources. The company provides datasets for speech recognition, AI-driven diagnostics, and sentiment analysis, among other applications. Defined.ai was formerly known as DefinedCrowd. It was founded in 2015 and is based in Seattle, Washington.
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