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Organization

Scale AI

Scale AI is a data services organization and enterprise software company headquartered in San Francisco, California1. This catalog lists 1 evaluation tool from Scale AI, under licenses including the MIT License (dataset).

Documented roles: Data services · Enterprise software

Scale AI provides training data, annotation, and human-feedback services for AI model developers, along with model evaluation work and software for building AI agents. It sells to enterprises and to government customers, including national security agencies.135

Last reviewedEntry updated

Status: In June 2025 Scale announced a significant investment from Meta Platforms, Inc. Scale states that Meta holds a minority of its outstanding equity and that Scale remains an independent company; founder Alexandr Wang joined Meta to work on its AI efforts while remaining a director on Scale's board.2

Using this organization’s offerings

Ownership, delivery, and openness answer different questions. Publicly traded does not mean open source; privately held does not mean closed.

The detailed audience, self-hosting, pricing, and restrictions review has not yet been completed. Consult the sourced product records below and the publisher’s current terms. Missing detail means unknown, not unavailable.

Key facts

Ownership (separate from openness)
Privately held

Recorded classification; fact-level ownership verification pending.

Legal form
Unknown
Headquarters
San Francisco, California1
Founded
20161
Sectors
Data, Enterprise, Agents, Defense

What is and isn’t public

An evidence-based summary of what this catalog has documented. It is not a verdict on the organization as a whole.

Scale's documented products are commercial data services and hosted software. This catalog has no record of public model weights from Scale AI.1

Products

Documented products and how they are delivered. Each row links to the official page.

No hosted model products are recorded for this organization.

Other products

Scale AI: other products
ProductKindDocumented delivery and accessReviewed
Scale Data Engine (external site: scale.com)Data platformCommercial service and platform for collecting, curating, and annotating training and evaluation data, including human-feedback data for reinforcement learning, for machine learning teams.3Sep 29, 2026
Scale GenAI Portfolio (external site: scale.com)Enterprise softwareEnterprise software for connecting data sources, running AI agents over organizational data, and monitoring and improving those agents.4Sep 29, 2026
Scale Donovan (external site: scale.com)Enterprise softwarePlatform for deploying AI agents in government, defense, and national security workflows, offered to public-sector customers.5Sep 29, 2026

Cataloged artifacts

Records in the Open Models & Tools directory that list this organization as a maintainer or publisher.

Evaluation tools (1)

In the news

Dated, sourced updates in this catalog's news that mention this entry.
  1. · Research

    Scale AI releases DistressBench, a benchmark of crisis support in language models

    Scale AI has published DistressBench, a benchmark of whether a language model can sustain safe, useful support across a crisis conversation; the accompanying paper was posted on arXiv on October 8, 2026. The paper argues that safety benchmarks scoring models mainly on refusal do not capture the support needed in suicide and self-harm crises, and describes 718 English conversations with clinician-authored turns across 23 suicide and self-harm subcategories, each with a task-specific rubric and a clinician reference response. Scale AI's gated Hugging Face dataset publishes 359 of the tasks under the CC BY 4.0 license, withholds the other half as a private holdout, and places full long-horizon transcripts, including the assistant turns, in a separate annex released for safety research.

  2. · Release

    CAIS and Scale AI release HLE-Diamond, a refined 1,000-question subset of Humanity's Last Exam

    On September 22, 2026, the Center for AI Safety and Scale AI released HLE-Diamond, which the release notes describe as a refined subset of the Humanity's Last Exam (HLE) question collection, produced through a year-long process of cleaning and refinement with input from research communities. HLE-Diamond has 1,000 questions, split evenly into 500 reasoning and 500 knowledge questions, and is designed to be answered closed-book, with separate recommended settings for evaluations that use tools. The dataset is on Hugging Face as cais/hle-diamond, where the card lists an MIT license, requires agreeing to share contact information before access, and asks that the dataset not be publicly shared or re-uploaded.

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.
  • Legal name: not documented in the sources reviewed for this record.

Have a primary source? How to report a correction.

U.S. eligibility

How this record meets the catalog’s published eligibility policy.

Eligible · basis: U.S. headquarters

Scale AI's official About page lists its headquarters as San Francisco, California. Scale describes Meta's 2025 investment as a minority equity stake and states that it remains independent, so its eligibility rests on its own U.S. headquarters rather than on a parent relationship.12

Assessed Sep 29, 2026

Eligibility policy

Sources

  1. 1.
  2. 2.
    Founder, Alexandr Wang, Joins Meta to Work on AI Efforts (external site: scale.com)

    Scale AI · Announcement · published Jun 12, 2025 · accessed Sep 29, 2026

  3. 3.
  4. 4.
    Scale GenAI Portfolio | Scale AI (external site: scale.com)

    Scale AI · Official page · accessed Sep 29, 2026

  5. 5.
  6. 6.
    Official careers directory and application links (external site: scale.com)

    Scale AI · Official page · accessed Oct 1, 2026 · evidence reviewed Oct 1, 2026

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APA style

USASI. (2026, October 1). Scale AI. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/scale-ai/

BibTeX

@misc{usasi_scale_ai,
  author = {{USASI}},
  title = {Scale AI},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/scale-ai/}},
  note = {United States of America Superintelligence. Last updated 2026-10-01}
}

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