Scale AI

Featured

Enterprise data platform providing high-quality AI training data with human-AI labeling.

Best for: Highest quality annotations Not ideal for: Very expensive
Price Enterprise pricing
Free plan No
For Researchers
Level Beginner
Updated Mar 2026
Category AI Research
01

Why choose Scale AI

Data platform for AI that provides high-quality training data through a combination of human annotators and AI-assisted labeling. Supports image, video, text, LiDAR, and other data types. Trusted by major AI companies and government agencies.

  • +Highest quality annotations
  • +Massive scale capability
  • +Multi-data-type support
  • +Industry leader
02

Where it falls short

  • Very expensive
  • Enterprise-only
  • Long onboarding process
  • Overkill for small teams
03

Best for these users

👤
Target audience
Researchers, academics, knowledge workers
📌
Best for
Highest quality annotations
Skip if you need
Very expensive
04

Pricing overview

Enterprise Free plan: No

Enterprise pricing based on data volume and type. Some free tools available.

Check current pricing →
05

Key features

Human-AI labeling
Multi-data-type support
Quality assurance
LiDAR annotation
RLHF for LLMs
Government-grade security
07

Alternatives to Scale AI

Encord

AI data platform for CV teams with automated labeling, quality metrics, and active learning.

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Label Studio

Open-source multi-format data labeling platform for ML with configurable interfaces.

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Labelbox

AI data engine for collaborative training data pipelines with model-assisted labeling.

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Prodigy

Scriptable annotation tool with active learning for efficient ML training data creation.

Snorkel AI

Programmatic data labeling platform using labeling functions instead of manual annotation.

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See all alternatives →
08

Related comparisons

09

The verdict

Scale AI Enterprise

Scale AI is a solid choice for researchers who need highest quality annotations. At enterprise, it delivers good value. Main caveat: very expensive. Compare with alternatives before committing.