This company is in the pipeline of America 2030, IPO CLUB’s $50M, actively managed secondary fund focused on U.S. defense, energy, security, and AI.

 

Headquarter: San Francisco

Year Founded: 2016

Employees: ~1,400 | July 2025

Business Status: Generating Revenue

Industry Sectors: AI Infrastructure, Cloud Computing, Data Centers, Semiconductors

We provide you with access to private U.S. companies like Scale, before their IPO and before they reach Wall Street, through exclusive funds such as America 2030

What is Scale?

Scale AI is a technology company that specializes in building critical data infrastructure to support the development and deployment of artificial intelligence. It serves as the enabling layer behind many of the world’s most advanced AI systems, ensuring that these systems can learn faster, perform better, and operate more safely. At its core, Scale AI provides the tools and services necessary to help both enterprises and governments create trustworthy and high-performing AI. This positions Scale not just as a service provider, but as a foundational partner to industries deploying AI at scale, including national security institutions and top tier technology firms.

Check out our latest article: Investing in the AI-Infrastructure Boom

What does Scale do?

Scale AI helps AI systems learn by feeding them large volumes of well organized, labeled data. This information clearly defines what the AI is seeing or processing. For example, if an AI model needs to detect pedestrians in self-driving car footage, Scale provides datasets with thousands of labeled video clips indicating where people are in each frame. In addition to labeling real world data, Scale also creates synthetic data. This is artificially generated but highly realistic data used to train models in situations where real data is limited, sensitive, or expensive to obtain.

Technology & Products

Data Labeling & Ground Truth Annotation

  • Scale specializes in annotating raw data—images, videos, LiDAR, and text—to produce foundational “ground truth” training data that fuels machine learning models. This allows AI teams to focus on model building rather than manual labeling.

  • Users can submit data via APIs; initial guesses are made by the system and refined through human verification—a model often described as “semi‑supervised learning as a service.”

Comprehensive AI Data Platform

  • Scale provides an end‑to‑end infrastructure for the machine learning lifecycle, ensuring better data leads to more performant models and faster deployment.

Evaluation & Alignment Tools

  • The company launched Scale Evaluation, a platform to benchmark and test large language models (LLMs), identifying weaknesses and recommending targeted training data enhancements. This supports model reasoning, safety, and alignment.

  • Their research arm, the Safety, Evaluation and Alignment Lab, develops benchmarks such as Humanity's Last Exam, EnigmaEval, MultiChallenge, and MASK, to assess reasoning and safety in advanced AI systems.

High-Profile Clients & Applications

  • Scal eAI serves a roster of leading technology and government organizations—including OpenAI, Meta, Microsoft, Google, General Motors, and various U.S. federal agencies such as the Department of Defense and Army Corps.

  • They assist in diverse use cases, from autonomous vehicles and mapping to generative AI for LLMs.

In June–July 2025, the company experienced significant upheaval following the departure of its CEO, Alexandr Wang, who left to head Meta’s newly formed Superintelligence Labs as part of Meta’s $14.3 billion investment in the company. In the aftermath, the firm initiated a strategic restructuring under new CEO Jason Droege, resulting in the layoff of approximately 200 full‑time employees (roughly 14 % of its workforce) and 500 contractors, consolidating multiple generative AI teams into five core units. Concurrently, major clients—including Google, the company’s largest customer—began terminating or reducing contracts, citing concerns over the Meta tie‑up and potential conflicts of interest.

Is Scale publicly traded?

Scale AI is not publicly traded. It remains a private company with no listing on any public stock exchange such as the NYSE or Nasdaq. Consequently, it has no ticker symbol and its shares are not available through standard retail brokerage accounts.

Access to Scale AI stock is limited to accredited investors, typically via private-secondary marketplaces such as IPO CLUB. These platforms facilitate transactions in private-company shares but are not accessible to the general public.

There is no indication of an imminent IPO. Reports suggest that, supported by strong backing from Meta (which acquired a 49% stake in June 2025), the company is well-capitalized and not under pressure to go public in the near term.

Scale Stock

Scale stock is primarily held by founders, employees, and early investors. Until a liquidity event, such as an IPO or M&A transaction, the company remains privately owned. Investors seeking exposure to Scale should explore opportunities in the private markets, where certain brokers, platforms, or funds may offer access. Scale is currently in the pipeline for America 2030 IPO CLUB’s $50 million actively managed secondary fund, which focuses on U.S. defense, energy, security, and AI. Investors may also participate through our single-name SPV. To request more information, please click here.

Stock price source: IPO CLUB Valuation at Market© - Become a member for in-depth coverage

Scale and America 2030 Latest News

Check out our latest article: Investing in the AI-Infrastructure Boom

This company is in the pipeline of America 2030, IPO CLUB’s $50M, actively managed secondary fund focused on U.S. defense, energy, security, and AI.

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