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Brief
Scale AI

Scale AI

AI Infrastructurescale.com

Scale AI accelerates AI development by providing the highest-quality training data and model evaluation services, enabling organizations to build safer, more accurate, and production-ready AI systems faster.

Last updated Oct 14, 2026 by the ATDb Editorial Team

Founded
2016
HQ
San Francisco, California, United States
Connections
7

AI-drafted from public sources3 sources cited

At a glance

Employees
1001-5000
Funding
$1.6B+
Revenue
$500M–$1B
5integrations

About

Market leader in AI training data and model evaluation, serving top-tier AI labs, tech giants, and U.S. government agencies

Scale AI is a data infrastructure company founded in 2016 that specializes in generating, annotating, and evaluating the training data needed to build and improve artificial intelligence models. The company offers a platform that combines human labelers with automated tooling to produce high-quality labeled datasets across modalities including text, images, video, audio, and 3D sensor data. Scale serves as critical infrastructure for AI development, enabling companies to move from prototype to production-grade AI systems at scale. Scale AI's customer base spans some of the most prominent names in AI and technology, including OpenAI, Meta, Microsoft, and various U.S. government agencies. The company has expanded beyond traditional data labeling into model evaluation and red-teaming services, helping organizations assess the safety, accuracy, and alignment of large language models. Its Reinforcement Learning from Human Feedback (RLHF) capabilities have become particularly valuable as generative AI has surged in prominence. It plays an increasingly relevant role in the broader AI ecosystem that underpins modern advertising technology. AI-driven ad targeting, creative generation, and audience modeling all depend on the kind of high-quality training data and model evaluation that Scale provides. The company has achieved unicorn status with a valuation exceeding $13 billion and is widely considered one of the most strategically important AI infrastructure companies in the world.

Business model

Usage-based / Enterprise SaaS

Target market

Enterprise

What they offer

  • Scale Data Engine

    End-to-end platform for creating, curating, and managing AI training datasets across text, image, video, audio, and 3D data modalities.

  • Scale Evaluation

    Model evaluation and benchmarking tools that assess LLM performance, safety, and alignment using human and automated evaluation pipelines.

  • Scale RLHF

    Reinforcement Learning from Human Feedback services that help fine-tune and align large language models using expert human feedback.

  • Scale Donovan

    AI-powered decision-support platform built for defense and national security use cases, enabling rapid analysis of complex operational data.

  • Scale Red Teaming

    Adversarial testing service that identifies vulnerabilities, biases, and safety risks in AI models before deployment.

  • Scale Rapid

    Self-serve data labeling platform for smaller teams and faster iteration cycles with access to Scale's labeling workforce and tools.

  • Scale GenAI Platform

    Suite of tools enabling enterprises to fine-tune, evaluate, and deploy generative AI models using proprietary data.

Key features

Human-in-the-loop data annotation at scaleMultimodal data labeling (text, image, video, audio, LiDAR)Reinforcement Learning from Human Feedback (RLHF)LLM benchmarking and safety evaluationAutomated quality assurance and consensus mechanismsAPI-first architecture for programmatic data pipeline integrationExpert workforce for specialized domain annotationRed teaming and adversarial AI testing

Use cases

Training data generation for large language modelsAutonomous vehicle sensor data annotationRLHF fine-tuning for generative AI alignmentAI model safety and red teaming evaluationComputer vision dataset creation for roboticsGovernment and defense AI system developmentEnterprise LLM customization with proprietary dataBenchmark creation for AI model comparison

Customer segments

AI research labs (OpenAI, Anthropic, Meta AI)Autonomous vehicle companiesU.S. Department of Defense and intelligence agenciesLarge technology enterprises building AI productsRobotics and industrial automation companiesHealthcare AI developersFinancial services AI teams

Tech & specs

Technology stack

PythonReactKubernetesAWSGoogle Cloud PlatformPostgreSQLREST APIsMachine learning quality modelsComputer vision toolingLLM evaluation frameworks

Security & compliance

SOC 2 Type IIISO 27001FedRAMP (in progress/partial)ITAR complianceGDPRCCPA

Deployment

CloudHybridOn-premise (for government/defense clients)

API

Yes

Explore further

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