AI Training Data Platform · S-1 Filed H1 2026 · $28–30B Valuation · Series G $1.1B
Last updated: July 15, 2026 · Status:IPO Pending — S-1 Filed H1 2026 · Series G: $1.1B closed July 2026
The short version
Scale AI closed a $1.1B Series G in July 2026, pushing total raised to $2.7B and estimated valuation to $28–30B. The company filed an S-1 in H1 2026 at a $25B base — the July funding round likely refreshed that floor upward. Goldman Sachs and JPMorgan are co-leading. With ~$700M–$900M estimated ARR, Scale is the most capital-efficient data infrastructure company in the AI stack. Listing could come Q3–Q4 2026.
IPO Quick Facts
Field
Data
Company
Scale AI Inc.
Founder & CEO
Alexandr Wang (co-founded at age 19)
Headquarters
San Francisco, CA
Founded
2016
Product
AI training data infrastructure, annotation, synthetic data
Valuation
$28–30B (Series G, July 2026)
Total Funding
$2.7B
Lead Investors
Sequoia, Accel, Greenoaks, Tiger Global, Founders Fund
IPO Status
IPO Pending — S-1 Filed March 12, 2026
Underwriters
Goldman Sachs, JPMorgan (co-lead)
Ticker
TBD
Primary Exchange
TBD (Nasdaq likely)
IPO Readiness Score
74
/ B+
IPO Readiness: B+ Grade
S-1 filed, top-tier underwriters engaged, strong revenue from AI lab contracts. Blocked by: capital-intensive model, path to profitability not yet proven publicly, and concentration risk with major AI lab customers.
Why Scale AI is Worth Watching
Scale AI sits at the intersection of AI's most critical bottleneck: training data quality. As AI labs race to build GPT-5-class models, the limiting factor isn't compute — it's human-annotated, high-quality training data. Scale's platform handles the heavy lifting, combining human annotators with synthetic data generation and rigorous evaluation frameworks.
The company has diversified beyond pure-play AI labs into defense and government contracts, including work with the U.S. Department of Defense. This diversification is significant — it means Scale isn't entirely dependent on the volatile AI lab market. But it also introduces government procurement complexity into the IPO narrative.
Alexandr Wang's trajectory is remarkable: co-founding Scale at 19 and building it to $25B valuation before turning 30. That's the kind of founder story that generates investor interest in an IPO beyond the fundamentals.
Revenue & Growth
Metric
Value
Notes
Valuation
$25B
Series H, 2024
Total Funding
$15.9B
Raised across 11+ rounds
Revenue Model
B2B SaaS + data services
AI labs + government/defense contracts
Customer Base
OpenAI, Anthropic, Google, DoD
Concentrated among top AI labs
Profitability
Path to profitability in progress
S-1 financials will reveal more
IPO Timeline
2016
Scale AI founded by Alexandr Wang at age 19.
2020–2024
Raises $15.9B across multiple rounds, reaching $25B valuation. Signs major AI lab contracts and U.S. DoD partnerships.
March 12, 2026
CONFIDENTIAL S-1 FILED. Goldman Sachs and JPMorgan co-lead.
June 2026 (NOW)
S-1 review in progress. Roadshow expected Q3 2026.
Scale AI filed a confidential S-1 on March 12, 2026. No listing date has been confirmed, but typical timelines from S-1 filing to IPO range from 3–6 months, suggesting a potential listing in Q3–Q4 2026. Goldman Sachs and JPMorgan are co-leading.
Scale AI's last reported valuation is $25 billion from its Series H in 2024. The S-1 filing will reveal updated financials and a potential IPO valuation. The company has raised $15.9 billion total, making it one of the most well-funded AI infrastructure companies.
Scale AI's investors include Sequoia, Accel, Greenoaks, Tiger Global, Coatue, Founders Fund, and Durable Capital. The company also has strategic backing from major AI labs.
Scale AI provides AI training data infrastructure — human annotation, synthetic data generation, and evaluation platforms that help AI companies like OpenAI, Anthropic, Google, and the U.S. Department of Defense build better models.
Accredited investors can access pre-IPO Scale AI shares on secondary markets like Forge Global, EquityZen, or Hiive. Availability is limited and pricing is negotiated privately. No public market exists yet.
Scale AI sits at the infrastructure layer of the AI stack — every major AI lab needs training data infrastructure. The defense/government revenue diversification adds stability. If the company can demonstrate strong gross margins and a path to profitability in the S-1, it could be one of the most sought-after IPOs of 2026.