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Defined.ai
Data Annotation · 63.4K monthly visits

Defined.ai is a leading marketplace and platform for high-quality AI training data. It provides off-the-shelf datasets and custom data collection/annotation services for computer vision, NLP, and speech recognition. By leveraging a global crowd and a robust platform, Defined.ai helps businesses accelerate the development of accurate and ethical AI models.

VS
DefinedCrowd
Machine Learning · 1.9B monthly visits

DefinedCrowd is a leading provider of high-quality AI training data. It leverages a global crowd to collect, annotate, and enrich data for machine learning models, specializing in speech, NLP, and computer vision. It offers a fully managed service to help companies build robust and unbiased AI applications at scale.

Defined.ai vs DefinedCrowd: pricing, features, traffic, and use cases

Compare Defined.ai and DefinedCrowd across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

Defined.ai Product overview

Defined.ai is a leading marketplace and platform for high-quality AI training data. It provides off-the-shelf datasets and custom data collection/annotation services for computer vision, NLP, and speech recognition. By leveraging a global crowd and a robust platform, Defined.ai helps businesses accelerate the development of accurate and ethical AI models.

Preview

DefinedCrowd Product overview

DefinedCrowd is a leading provider of high-quality AI training data. It leverages a global crowd to collect, annotate, and enrich data for machine learning models, specializing in speech, NLP, and computer vision. It offers a fully managed service to help companies build robust and unbiased AI applications at scale.

Preview

Detailed feature comparison

FeatureDefined.aiDefinedCrowd
Primary categoryData AnnotationMachine Learning
Added2025-08-052025-09-17
PricingPaidPaid
Official websitedefined.ailogin.microsoftonline.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits63.4K1.9B
Monthly growth-11.2%-4.8%
Favorites10586
DetailsView detailsView details

Defined.ai vs DefinedCrowd monthly traffic

Compare Defined.ai and DefinedCrowd by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Defined.ai vs DefinedCrowd monthly traffic comparison, Defined.ai currently shows 63.4K visits and DefinedCrowd shows 1.9B; DefinedCrowd has about 29,630.4 times the visible traffic of Defined.ai, an absolute difference of about 1.9B 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.

Defined.ai monthly traffic:

Latest traffic

Monthly visits
63.4K
Avg. visit duration
0:18
Pages per visit
2.02
Bounce rate
36.99%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 25K Monthly visits
  • 2026/1: 22.9K Monthly visits
  • 2026/2: 32K Monthly visits
  • 2026/3: 58.7K Monthly visits
  • 2026/4: 71.4K Monthly visits
  • 2026/5: 63.4K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States35.66%22.6K
🇳🇬Nigeria19.55%12.4K
🇮🇳India19.12%12.1K
🇵🇹Portugal13.48%8.6K
🇪🇸Spain12.19%7.7K

Traffic sources

Source typePercentageTraffic
Direct90.08%57.1K
Referral9.18%5.8K
Email0.74%469

Search keywords

data annotation techdefined aidefinedaidefined.ai contactdefined crowd

DefinedCrowd monthly traffic:

Latest traffic

Monthly visits
1.9B
Avg. visit duration
2:18
Pages per visit
2.64
Bounce rate
40.87%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 1.9B Monthly visits
  • 2026/1: 1.8B Monthly visits
  • 2026/2: 1.8B Monthly visits
  • 2026/3: 2B Monthly visits
  • 2026/4: 2B Monthly visits
  • 2026/5: 1.9B Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States64.38%1.2B
🇬🇧United Kingdom11.3%212.4M
🇦🇺Australia8.42%158.2M
🇨🇦Canada8.4%157.9M
🇧🇷Brazil7.5%140.9M

Traffic sources

Source typePercentageTraffic
Referral71.82%1.3B
Email22.69%426.4M
Direct5.49%103.2M

Search keywords

blackboardgmailmicrosoft 365office 365office 365 login
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate DefinedCrowd 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 Defined.ai and DefinedCrowd

Defined.ai Core features

Data Annotation
Datasets
Machine Learning

DefinedCrowd Core features

Machine Learning
Crowdsourcing
Data Labeling

Use cases

Defined.ai Use cases

AI training data
computer vision
data annotation
data collection
machine learning
natural language processing
speech recognition
datasets
enterprise AI
MLOps

DefinedCrowd Use cases

AI training data
computer vision
data annotation
data collection
machine learning
natural language processing
speech recognition
AI data platform
crowdsourcing
data labeling

Best suited roles

Defined.ai Best suited roles

No verified data available

DefinedCrowd Best suited roles

AI/ML Engineer
AI Project Manager
CTO
Data Scientist
Product Manager
Researcher

Defined.ai vs DefinedCrowd:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Defined.ai vs DefinedCrowd comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Defined.ai is primarily listed under “Data Annotation”, while DefinedCrowd is primarily listed under “Machine Learning”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Defined.ai: Data Annotation; DefinedCrowd: Machine Learning); Monthly visits (Defined.ai: 63.4K; DefinedCrowd: 1.9B); Monthly growth (Defined.ai: -11.2%; DefinedCrowd: -4.8%); Favorites (Defined.ai: 105; DefinedCrowd: 86); Website (Defined.ai: defined.ai; DefinedCrowd: login.microsoftonline.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Defined.ai vs DefinedCrowd monthly traffic comparison, Defined.ai currently shows 63.4K visits and DefinedCrowd shows 1.9B; DefinedCrowd has about 29,630.4 times the visible traffic of Defined.ai, an absolute difference of about 1.9B 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 DefinedCrowd 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

Defined.ai and DefinedCrowd currently overlap in shared tags: AI training data, computer vision, data annotation, data collection, machine learning, natural language processing, and speech recognition. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Defined.ai's unique categories/tags are Data Annotation, Datasets, Machine Learning, datasets, enterprise AI, and MLOps; DefinedCrowd's are Machine Learning, Crowdsourcing, Data Labeling, AI data platform, crowdsourcing, and data labeling. 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

Defined.ai has no verified rating, 0 comments, 105 favorites, and 113 likes;DefinedCrowd has no verified rating, 0 comments, 86 favorites, and 80 likes。

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

Selection guidance by actual need

When to evaluate Defined.ai first

Put Defined.ai on the priority trial list when the task aligns with “Data Annotation” and especially Data Annotation, Datasets, Machine Learning, datasets, enterprise AI, and MLOps. This follows recorded positioning and does not imply unlisted capabilities are absent.

Defined.ai also currently records: pricing is paid, product type is website, 63.4K 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 DefinedCrowd first

Put DefinedCrowd on the priority trial list when the task aligns with “Machine Learning” and especially Machine Learning, Crowdsourcing, Data Labeling, AI data platform, crowdsourcing, and data labeling, or the users include AI/ML Engineer, AI Project Manager, CTO, and Data Scientist. This follows recorded positioning and does not imply unlisted capabilities are absent.

DefinedCrowd also currently records: pricing is paid, product type is website, 1.9B 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 Defined.ai and DefinedCrowd, 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 Defined.ai and DefinedCrowd?
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.