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Labelbox
Labeling · 1.1M monthly visits

Labelbox is a comprehensive data-centric AI platform, or "Data Factory," designed for AI teams. It provides integrated software, expert services, and a talent marketplace to create, manage, and evaluate high-quality training data for advanced AI models, including LLMs and multimodal systems.

VS
Scale AI
Labeling · 624.7K monthly visits

Scale AI is a full-stack platform that accelerates AI development by providing high-quality data, model evaluation, and fine-tuning services. It caters to leading AI labs, enterprises, and government agencies, offering a comprehensive Data Engine for RLHF, data labeling, and generation to power advanced generative AI and LLMs.

Labelbox vs Scale AI: pricing, features, traffic, and use cases

Compare Labelbox and Scale AI across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 20, 2026

Product overview

Labelbox Product overview

Labelbox is a comprehensive data-centric AI platform, or "Data Factory," designed for AI teams. It provides integrated software, expert services, and a talent marketplace to create, manage, and evaluate high-quality training data for advanced AI models, including LLMs and multimodal systems.

Preview

Scale AI Product overview

Scale AI is a full-stack platform that accelerates AI development by providing high-quality data, model evaluation, and fine-tuning services. It caters to leading AI labs, enterprises, and government agencies, offering a comprehensive Data Engine for RLHF, data labeling, and generation to power advanced generative AI and LLMs.

Preview

Detailed feature comparison

FeatureLabelboxScale AI
Primary categoryLabelingLabeling
Added2025-08-112025-08-10
PricingFreemiumPaid
Official websitelabelbox.comscale.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits1.1M624.7K
Monthly growth19.3%-2.2%
Favorites94110
DetailsView detailsView details

Labelbox vs Scale AI monthly traffic

Compare Labelbox and Scale AI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Labelbox vs Scale AI monthly traffic comparison, Labelbox currently shows 1.1M visits and Scale AI shows 624.7K; Labelbox has about 1.8 times the visible traffic of Scale AI, an absolute difference of about 470.4K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Labelbox monthly traffic:

Latest traffic

Monthly visits
1.1M
Avg. visit duration
4:51
Pages per visit
7.12
Bounce rate
29.75%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 1M Monthly visits
  • 2026/1: 1.1M Monthly visits
  • 2026/2: 1.1M Monthly visits
  • 2026/3: 848.5K Monthly visits
  • 2026/4: 918.3K Monthly visits
  • 2026/5: 1.1M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States51.51%564.1K
🇮🇳India16.98%185.9K
🇫🇷France13.54%148.3K
🇲🇽Mexico10.56%115.6K
🇪🇬Egypt7.41%81.1K

Traffic sources

Source typePercentageTraffic
Direct60.34%660.7K
Referral29.82%326.5K
Email9.84%107.8K

Search keywords

alignerralignerr loginlabel boxlabelboxlabelbox login

Scale AI monthly traffic:

Latest traffic

Monthly visits
624.7K
Avg. visit duration
1:21
Pages per visit
2.49
Bounce rate
49.38%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 553.8K Monthly visits
  • 2026/1: 699.1K Monthly visits
  • 2026/2: 549.1K Monthly visits
  • 2026/3: 590.2K Monthly visits
  • 2026/4: 638.4K Monthly visits
  • 2026/5: 624.7K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States69.42%433.6K
🇮🇳India13.06%81.6K
🇬🇧United Kingdom6.45%40.3K
🇲🇽Mexico6.34%39.6K
🇨🇳China4.73%29.5K

Traffic sources

Source typePercentageTraffic
Direct82.65%516.3K
Referral14.81%92.5K
Email2.54%15.9K

Search keywords

scalescale aiscaleaiscale ai careersswe-bench pro
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Labelbox first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Labelbox and Scale AI

Labelbox Core features

Labeling
Machine Learning
Workflow Management

Scale AI Core features

Labeling
Platform
Automation

Use cases

Labelbox Use cases

data labeling
llm
model evaluation
AI training
computer vision
data annotation
human-in-the-loop
machine learning
multimodal AI
NLP
reinforcement learning

Scale AI Use cases

data labeling
llm
model evaluation
AI platform
AI safety
data engine
enterprise AI
fine-tuning
generative AI
RLHF

Labelbox vs Scale AI:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Labelbox vs Scale AI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Labelbox is primarily listed under “Labeling”, while Scale AI is primarily listed under “Labeling”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Pricing (Labelbox: Freemium; Scale AI: Paid); Monthly visits (Labelbox: 1.1M; Scale AI: 624.7K); Monthly growth (Labelbox: 19.3%; Scale AI: -2.2%); Favorites (Labelbox: 94; Scale AI: 110); Website (Labelbox: labelbox.com; Scale AI: scale.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Labelbox vs Scale AI monthly traffic comparison, Labelbox currently shows 1.1M visits and Scale AI shows 624.7K; Labelbox has about 1.8 times the visible traffic of Scale AI, an absolute difference of about 470.4K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Labelbox first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Labelbox and Scale AI currently overlap in shared categories: Labeling; shared tags: data labeling, llm, and model evaluation. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Labelbox's unique categories/tags are Machine Learning, Workflow Management, AI training, computer vision, data annotation, human-in-the-loop, machine learning, and multimodal AI; Scale AI's are Platform, Automation, AI platform, AI safety, data engine, enterprise AI, fine-tuning, and generative AI. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Labelbox has no verified rating, 0 comments, 94 favorites, and 100 likes;Scale AI has no verified rating, 0 comments, 110 favorites, and 119 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Labelbox first

Put Labelbox on the priority trial list when the task aligns with “Labeling” and especially Machine Learning, Workflow Management, AI training, computer vision, data annotation, and human-in-the-loop. This follows recorded positioning and does not imply unlisted capabilities are absent.

Labelbox also currently records: pricing is freemium, product type is website, 1.1M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Scale AI first

Put Scale AI on the priority trial list when the task aligns with “Labeling” and especially Platform, Automation, AI platform, AI safety, data engine, and enterprise AI. This follows recorded positioning and does not imply unlisted capabilities are absent.

Scale AI also currently records: pricing is paid, product type is website, 624.7K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Labelbox and Scale AI, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Labelbox and Scale AI?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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