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Scale AI

AI InfrastructureVerified95% conf

Provides data labeling, model evaluation, and infrastructure services for AI development

scale.com

📍 San Francisco, California, USA

Verified Data

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Revenue$870M ARR (2024 actual), $1.5B+ ARR (mid-2025)

2024_actual: $870 million, 2025_projected: $2 billion, current_arr_status: Over $1.5 billion (mid-2025)

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Funding$15.9B total funding, $14.3B Series G (June 2025) at $29.2B valuation

total_funding: $15.9 billion, latest_round: Series G ($14.3 billion), latest_round_date: June 12, 2025, valuation: $29.2 billion (June 2025)

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Monthly Traffic549,100 visits/month (March 2026)

visits: 549,100 (March 2026), bounce_rate: 49.39%, pages_per_visit: 2.40

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Users400+ enterprise clients, 1,000+ total customers

Over 400 enterprise clients; total customer base estimated at 1,000+

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Team Size1,000-5,000 employees

Estimated 1,000 - 5,000 employees (based on 1,000+ customer data and growth)

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Growth130% YoY revenue growth (2025 projected)

Projected 130% YoY revenue growth (2025); Significant expansion in generative AI data labeling (RLHF)

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StageSeries G (June 2025)
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Founded2016

Company Profile

ModelHybrid SaaS and Managed Services (Data-as-a-Infrastructure)
VerticalAI/ML Development, Autonomous Vehicles, Generative AI Labs, Government & Defense
ClientsOpenAI, Meta, Microsoft, Alphabet, Amazon, Toyota, General Motors, U.S. Army, TIME
BuyersLarge Enterprise and High-Growth Tech companies, 65% United States, 35% International. Primarily AI/ML development teams, autonomous vehicle manufacturers, generative AI labs, and government agencies.
PricingUsage-based pricing for labeling services; tiered subscription for platform access (Self-serve vs. Enterprise Custom)

Contact

Strategic Analysis

Strategy

Scale AI operates as a data infrastructure company for AI, providing both platform tools and managed services for data annotation and RLHF. They focus on serving large enterprise clients and AI labs with mission-critical data needs. The company is betting heavily on the generative AI boom and expanding internationally while maintaining strong government and defense relationships.

Tactics

Usage-based pricing model allows flexible scaling for customers while maximizing revenue from high-volume clients. Heavy investment in enterprise sales and customer success to land major AI companies like OpenAI and Meta. Strategic leadership changes including bringing in Meta executives and founder transition to maintain key partnerships.

Competitive Positioning

Positioned as the premium data infrastructure provider for AI companies, competing against smaller annotation services and in-house solutions. Differentiates on scale, quality, and enterprise-grade security for handling sensitive AI training data. Strong moat through customer relationships with major AI labs and government contracts.

Marketing Approach

Enterprise-focused sales motion targeting AI/ML teams at large tech companies and government agencies. Heavy emphasis on thought leadership and industry presence through conferences and partnerships. Customer success stories and case studies with major AI companies as primary marketing assets.

Notable

Founded by Alexandr Wang who became one of the youngest billionaires; recently transitioned to Meta while Jason Droege became CEO

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Tech Stack

PythonPythonJavaScriptJavaScriptTypeScriptTypeScriptReactReactNode.jsNode.jsTensorFlowTensorFlowPyTorchPyTorchKerasAmazon S3AWSAWSGoogle Cloud PlatformGoogle Cloud PlatformMongoDBMongoDBPostgreSQLPostgreSQLRedisRedisDockerDockerKubernetesKubernetesJenkinsJenkinsSegmentSegment

Recent News

Related AI Infrastructure Companies

Discovery Sources

Signals

web traffic549,100 visits/month (March 2026)

visits: 549,100 (March 2026), bounce_rate: 49.39%, pages_per_visit: 2.40

growth rate130% YoY revenue growth (2025 projected)

Projected 130% YoY revenue growth (2025); Significant expansion in generative AI data labeling (RLHF)

team size1,000-5,000 employees

Estimated 1,000 - 5,000 employees (based on 1,000+ customer data and growth)

user count400+ enterprise clients, 1,000+ total customers

Over 400 enterprise clients; total customer base estimated at 1,000+

funding raised$15.9B total funding, $14.3B Series G (June 2025) at $29.2B valuation

total_funding: $15.9 billion, latest_round: Series G ($14.3 billion), latest_round_date: June 12, 2025, valuation: $29.2 billion (June 2025)

revenue claim$870M ARR (2024 actual), $1.5B+ ARR (mid-2025)

2024_actual: $870 million, 2025_projected: $2 billion, current_arr_status: Over $1.5 billion (mid-2025)

trend indicatorBenchmarking🔗 source ↗
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growth rateProjecting $2B revenue by 2025-2026, $1B+ new business in 2025

Sources provide conflicting revenue projections, with some expecting to hit $2 billion in 2025 while others project $2 billion in 2026; Scale AI's own blog states over $1 billion in new business in 2025

team size900-1,200 employees (conflicting sources)

Sources present conflicting team size figures, including 1,200 (2025), 900 (2025), and 523 (March 4, 2026)

funding raised$1.6B total funding, $1B Series F (May 2024)

Total funding raised amounts to $1.6 billion across 7 rounds, with the latest being a $1 billion Series F round in May 2024

revenue claim$870M revenue (2024), $1.5B ARR

The company generated $870 million in revenue in 2024, with an annualized run rate of $1.5 billion by the end of 2024

growth rateProjected to reach $2B revenue in 2025-2026

It is projected to reach $2 billion in revenue in 2025 or 2026

team size1000-1200 employees

the company has grown to approximately 1000 employees, with Wikipedia estimating 1,200 employees for 2025

user count400+ enterprise clients

They serve over 400 enterprise clients worldwide

funding raised$1.6B total funding across 7 rounds

Scale AI has raised a total of $1.6 billion in traditional funding across 7 rounds

revenue claim$870M ARR

Scale AI generated $870 million in revenue in 2024, up from $760 million in 2023

growth rate162% revenue growth from 2022 to 2023 ($290M to $760M)

Revenue growth has been substantial, jumping 162% from $290 million in 2022 to $760 million in 2023, and its International Public Sector team's revenue doubled in 2025, with projections to double again in 2026

team size1,200 employees

The company has 1,200 employees as of 2025

user countMajor enterprise customers including Google, Microsoft, Meta, OpenAI, US DoD

its clientele includes prominent entities such as Google, Microsoft, Meta, General Motors, OpenAI, the US Department of Defense, Mayo Clinic, BP, Allianz, Anthropic, Cohere, and the Qatari government

funding raised$1.6B total funding across seven rounds

Scale AI has raised a total of $1.6 billion in funding across seven rounds

revenue claim$870M 2024 revenue

the company reported $870 million in revenue for 2024, with projections to reach $2 billion in revenue in 2025

trend indicatorEnterprise Software Company🔗 source ↗
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trend indicatorArtificial Intelligence🔗 source ↗
trend indicatorMachine Learning🔗 source ↗
trend indicatorB2B🔗 source ↗
team size5000 Employee🔗 source ↗
funding raisedraised $277.6M🔗 source ↗

Evidence

wellfound.com

Find out if Scale AI is the right fit for your future career! Explore jobs, salary, equity, and funding information. Read about work-life balance, perks, benefits, and the company culture!

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