Status
Available
Last Round Valuation
$50 Billion
Share Price
$50.00
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Scale is fueling the Generative AI revolution. Built on a foundation of high-quality data and human insight, Scale’s proprietary Data Engine powers the world’s most advanced models. Our years of deep partnership with every major model builder enables us to provide the roadmap for any organization to apply AI. Scale is trusted by industry leaders, including Meta, Morgan Stanley, Microsoft, the U.S. Army, the DoD’s Defense Innovation Unit, OpenAI, General Motors, and Toyota Research Institute.
Scale provides a full suite of AI products and services. This includes the Data Engine, GenAI Platform, Donovan, and Evaluation.
Companies leverage the data engine to develop and train machine learning (ML) algorithms. This platform allows users to collect, curate, and annotate data for training and evaluating models.
Businesses rely on Scale AI to access high-quality, annotated data, which is labeled by human contractors, ML algorithms, or a combination of both.
Scale's GenAI Platform empowers enterprises to build, test, and optimize generative AI applications, unlocking the full potential of their data. With advanced retrieval-augmented generation (RAG) pipelines, a cutting-edge test and evaluation platform, and industry-leading machine learning expertise, Scale helps businesses optimize large language model (LLM) performance for domain-specific use cases.
Donovan, Scale AI's digital staff officer, is designed to support national security by providing AI-driven insights and enhancing operational efficiency.
Donovan helps analysts, researchers, and program managers quickly uncover critical data from vast sources, including intelligence reports and satellite imagery, without leaving classified networks. With advanced capabilities like AI-assisted report generation, translation, and data analysis, Donovan accelerates mission success by optimizing intelligence cycles and providing traceable, data-backed insights.
Scale Evaluation offers model developers a comprehensive platform to analyze and improve LLMs by providing detailed performance and safety assessments.
With high-quality evaluation sets across various domains, expert human raters, and custom evaluations for specific concerns, Scale Evaluation helps identify vulnerabilities and optimize models.
Additionally, Scale's red teaming capabilities uncover risks related to misinformation, bias, and cyberattacks, ensuring robust and trustworthy AI systems.
Scale AI offers a flexible pricing model, with an enterprise option for large AI initiatives that includes dedicated support, and a self-serve option ideal for experimental projects, which features pay-as-you-go pricing and free usage for the first 1,000 labeling units and 10,000 images.
As reported by Fortune in May 2024, Scale AI's annual recurring revenue tripled in 2023 to an undisclosed figure and is projected to reach $1.4 billion by the end of 2024.
According to The Information in September 2024, Scale nearly quadrupled its sales to almost $400 million in the first half of the year compared with the same period last year.
In September 2024, CEO Alex Wang tweeted, “For years now, we have iterated and improved on a new business model combining the best capabilities of software and human talent, to provide abundant and high-quality data for AI. The team’s hard work has been paying off; we hit nearly $1B ARR far earlier than expected this year and grew 4x year-over-year.”
As of September 2024, The Information reported that while Scale AI has not yet reached profitability, it has improved its operating margin in the first half of the year. The company spent approximately $1.20 for every dollar of revenue, down from $1.50 during the same period the previous year.
As of September 2024, The Information reported that Scale’s gross margin was just below 50%, a decline from around 57% in the first half of 2022. Scale's gross margin and revenues fell slightly short of the projections it had shared with prospective investors earlier this year. At the end of the first half of the year, the company had approximately $980 million in cash remaining.
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Customers
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Key Investors
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Size of Market
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Market Position
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Industry
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Primary Vertical
Artificial Intelligence
Employees
500
Mosaic Score
840
Money
760
Momentum
850
Management
760
Market
960
What is a Mosaic Score?
| Name | Work History | Title | Status |
|---|---|---|---|
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
| John Smith | Aenean, quam eu, diam dignissim | Chief Executive Officer | Current |
Last Round
Sept. 2019, Series B1
Valuation Post-Money
$400.2M
Amount Raised
$2.5M
Total Funds Raised
$75.2M
Implied Valuation
$84M
| Date | Round | Amount | Valuation | Investors |
|---|---|---|---|---|
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| MM/DD/YYYY | Growth Equity | $1M | $2.8B | Name goes here |
| Company | Valued | Revenue |
|---|---|---|
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
|
Coinbase San Francisco, CA |
$2.8B | $1.3B |
