In the field guide

scale

scale.com

Scale AI provides high-quality training data and evaluations to accelerate AI development for enterprises, governments, and research labs. It combines machine learning pre-labeling with human review to turn raw data into actionable intelligence for various AI applications.

The product, beyond the pitch

Automatically researched · Not editorially reviewed · Sources checked Nov 2, 2026

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A good fit for

Enterprises and AI teams needing scalable, high-quality training data and evaluation benchmarks.

Know the limitations

Not confirmed yet.

What you can do

Training data for self-driving cars, mapping, AR/VR, robotics, and other AI applications.
Reducing physician cognitive load by turning complex patient records into clinical intelligence.
Accelerating enterprise AI adoption across global energy operations.
Enabling scalable, real-world Physical AI for industrial robotics.
Powering interactive AI experiences that bring historical journalism to life.

Features

Machine learning powered pre-labeling of raw data.
Active tooling combined with human review for data labeling.
Expert-level evaluations and benchmarks for AI capability.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

scale pricing

No plans recorded yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

PeopleBillingCurrencyPrices are shown as published. No exchange rates are applied.Monthly usage per toolApplies to each tool’s own unit. Leave at 0 for subscription cost only.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / plan	Monthly	Per year	What this assumes
scale	No pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

Submit raw data to Scale's platform, which applies machine learning pre-labeling and active tooling, then human reviewers validate and refine the data to produce high-quality training datasets.

Based on the sources below. Editorial review does not imply hands-on product testing.

Alternatives to explore

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What changed

2 recorded changes · latest 11/2/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

11/2/2026
Updated: best for, features, sources, summary, use cases, walkthrough
See recorded changes
bestFor
Before: ["AI labs, governments, Fortune 500 companies, and enterprises with strategic AI initiatives."]
After: ["Enterprises and AI teams needing scalable, high-quality training data and evaluation benchmarks."]
features
Before: ["Machine learning powered pre-labeling combined with human review for data annotation."]
After: ["Machine learning powered pre-labeling of raw data.","Active tooling combined with human review for data labeling.","Expert-level evaluations and benchmarks for AI capability."]
sources
Before: [{"url":"https://scale.com/","label":"Reliable AI Systems for Critical Decisions | Scale AI"},{"url":"https://scale.com/docs","label":"Getting Started with Scale - Scale Documentation"}]
After: [{"url":"https://scale.com/","label":"Scale: Reliable AI Systems for Critical Decisions"},{"url":"https://scale.com/demo","label":"Meet with our team | Scale AI"},{"url":"https://scale.com/docs","label":"Getting Started with Scale - Scale Documentation"}]
summary
Before: "Scale AI provides data annotation and management services to accelerate AI development by turning raw data into high-quality training data using machine learning pre-labeling and human review. It serves AI labs, governments, and large enterprises with solutions for data annotation, generative AI applications, and data management."
After: "Scale AI provides high-quality training data and evaluations to accelerate AI development for enterprises, governments, and research labs. It combines machine learning pre-labeling with human review to turn raw data into actionable intelligence for various AI applications."
useCases
Before: []
After: ["Training data for self-driving cars, mapping, AR/VR, robotics, and other AI applications.","Reducing physician cognitive load by turning complex patient records into clinical intelligence.","Accelerating enterprise AI adoption across global energy operations.","Enabling scalable, real-world Physical AI for industrial robotics.","Powering interactive AI experiences that bring historical journalism to life."]
walkthrough
Before: []
After: ["Submit raw data to Scale's platform, which applies machine learning pre-labeling and active tooling, then human reviewers validate and refine the data to produce high-quality training datasets."]
9/14/2026
Updated: best for, features, sources
See recorded changes
bestFor
Before: ["AI labs, governments, Fortune 500 companies, and enterprises needing scalable, high-quality data annotation and AI training solutions."]
After: ["AI labs, governments, Fortune 500 companies, and enterprises with strategic AI initiatives."]
features
Before: ["Machine learning powered pre-labeling combined with human review for data annotation.","Generative AI portfolio to create customized enterprise-ready AI applications."]
After: ["Machine learning powered pre-labeling combined with human review for data annotation."]
sources
Before: [{"url":"https://scale.com/","label":"Reliable AI Systems for Critical Decisions | Scale AI"},{"url":"https://scale.com/pricing","label":"Pricing - Scale | Scale AI"},{"url":"https://scale.com/docs","label":"Getting Started with Scale - Scale Documentation"}]
After: [{"url":"https://scale.com/","label":"Reliable AI Systems for Critical Decisions | Scale AI"},{"url":"https://scale.com/docs","label":"Getting Started with Scale - Scale Documentation"}]

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Sources & research

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