Scale
Founded Year
2016Stage
Series F | AliveTotal Raised
$1.603BValuation
$0000Last Raised
$1B | 9 mos agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+73 points in the past 30 days
About Scale
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.
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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 AI development platforms market offers solutions that serve as one-stop shops for enterprises that want to develop and launch in-house AI projects. Vendors in this space enable organizations to manage all aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform in order to facilitate end-to-end model…
Scale named as Leader among 15 other companies, including Google Cloud Platform, Databricks, and IBM.
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 14 CB Insights research briefs, most recently on Oct 4, 2024.
Oct 4, 2024
The 3 generative AI markets most ripe for exits
Jul 31, 2024 report
State of CVC Q2’24 Report
Jul 30, 2024 report
State of AI Q2’24 Report
Jul 3, 2024 report
State of Venture Q2’24 Report
Feb 20, 2024
The AI training data market mapExpert 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
2,556 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
1,261 items
Tech IPO Pipeline
539 items
Track and capture company information and workflow.
AI 100
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
1,298 items
Companies working on generative AI applications and infrastructure.
Artificial Intelligence
7,222 items
Scale Patents
Scale has filed 17 patents.
The 3 most popular patent topics include:
- artificial neural networks
- computer vision
- artificial intelligence
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
12/9/2022 | 6/18/2024 | Sensors, Mass spectrometry, Gas sensors, Weighing instruments, Systems engineering | Grant |
Application Date | 12/9/2022 |
|---|---|
Grant Date | 6/18/2024 |
Title | |
Related Topics | Sensors, Mass spectrometry, Gas sensors, Weighing instruments, Systems engineering |
Status | Grant |
Latest Scale News
Mar 3, 2025
Inception and Scale AI have announced a strategic partnership aimed at accelerating global AI adoption across the public and private sector. The collaboration brings together Inception’s innovative AI product focus with Scale AI’s broad model training expertise. It will begin in the UAE and plan to expand into additional international The post (Untitled) appeared first on Channel Post MEA.
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 Series F.
How much did Scale raise?
Scale raised a total of $1.603B.
Who are the investors of Scale?
Investors of Scale include Y Combinator, Accel, Index Ventures, Coatue, Tiger Global Management and 32 more.
Who are Scale's competitors?
Competitors of Scale include MetAI, V7, Ydata, Encord, Voxel51 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 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 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.
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.
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.
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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