AI Data Labeling / Enterprise AI Infrastructure
    Freemium
    Free Trial
    Sponsored

    Scale AI

    AI Data Labeling / Enterprise AI Infrastructure

    Scale AI is an enterprise AI data platform providing high-quality training data annotation, model evaluation, RLHF, and GenAI infrastructure for Fortune 500 companies, government agencies, and leading AI labs. It is NOT related to other products named "Scale."

    Alternatives & similar tools

    Related picks from editorial notes.

    Also mentioned

    • Labelbox (collaborative data labeling platform)
    • Surge AI (human data for AI training
    • especially language tasks)
    • Snorkel AI (programmatic data labeling and weak supervision)

    Features & details

    Full overview from our catalog (read-only reference).

    Category (short)
    AI Data Labeling / Enterprise AI Infrastructure
    Category
    AI Data Labeling / Enterprise AI Infrastructure
    Pricing (CSV)
    Free Trial
    Directory pricing
    Freemium
    Sponsored note
    no
    Target audience
    Enterprise AI teams, AI labs, and government organizations with significant data labeling budgets and compliance requirements. Not ideal for: individual developers, startups with budgets under $50K/year, or teams needing transparent self-serve pricing.
    Best for
    Enterprise AI teams, AI labs, and government organizations with significant data labeling budgets and compliance requirements. Not ideal for: individual developers, startups with budgets under $50K/year, or teams needing transparent self-serve pricing.
    Pricing notes
    July 2026: no public pricing at scale.com (Enterprise-only sales). Self-serve Rapid tier: 200 free labeling units/month, then $0.05 per labeling unit for self-labeling (not managed annotation). Enterprise contracts: custom-negotiated; procurement data suggests average ~$93,000/year, range $50,000-$400,000+ depending on volume and complexity. Language fluency multipliers documented (1.00x English Basic to 25.00x Japanese Expert). AWS Marketplace enterprise packages from $24,000/year (Roboflow reference for comparison). Book demo required for all Enterprise/GenAI Platform pricing.

    Pros & cons

    Editorial notes to help compare fit before opening the vendor site.

    Pros

    • Gold-standard data quality trusted by top AI labs
    • comprehensive annotation types
    • strong enterprise compliance
    • full-stack from labeling to evaluation to RLHF
    • proven at massive scale

    Cons

    • No transparent public pricing
    • minimum enterprise contracts likely $50K+
    • overkill and unaffordable for startups/SMBs
    • long sales cycles
    • self-serve tier very limited vs Enterprise offering

    Review notes

    Context from the listing review and editorial research.

    Premium market positioning; pricing opacity is intentional for enterprise sales. Major clients include Meta, Mayo Clinic, CDAO, OpenAI ecosystem. Do not confuse with Scale Computing, ScaleFactor, or other "Scale" brands. Significant government/defense business.

    Extended features

    In-depth description and capability notes.

    Data Engine for image, video, text, LiDAR, and 3D annotation at scale GenAI Platform for fine-tuning, RLHF, and model evaluation Scale Evaluation for benchmarking frontier model capabilities Enterprise RLHF and red-teaming services for LLM alignment Self-serve Rapid tier for experimental labeling projects Human-in-the-loop quality assurance with configurable consensus levels SOC 2, HIPAA-readiness, and government/defense contract support Donovan AI platform for defense and intelligence applications

    Use cases

    Generate training data, evaluate model performance, and run RLHF workflows for production AI systems in autonomous vehicles, defense, healthcare, robotics, and enterprise GenAI deployments.