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.
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.
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.
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.
Detailed feature comparison
| Feature | Defined.ai | DefinedCrowd |
|---|---|---|
| Primary category | Data Annotation | Machine Learning |
| Added | 2025-08-05 | 2025-09-17 |
| Pricing | Paid | Paid |
| Official website | defined.ai | login.microsoftonline.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 63.4K | 1.9B |
| Monthly growth | -11.2% | -4.8% |
| Favorites | 105 | 86 |
| Details | View details | View 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 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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 35.66% | 22.6K |
| 🇳🇬Nigeria | 19.55% | 12.4K |
| 🇮🇳India | 19.12% | 12.1K |
| 🇵🇹Portugal | 13.48% | 8.6K |
| 🇪🇸Spain | 12.19% | 7.7K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 90.08% | 57.1K |
| Referral | 9.18% | 5.8K |
| 0.74% | 469 |
Search keywords
DefinedCrowd monthly traffic:
Latest traffic
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 64.38% | 1.2B |
| 🇬🇧United Kingdom | 11.3% | 212.4M |
| 🇦🇺Australia | 8.42% | 158.2M |
| 🇨🇦Canada | 8.4% | 157.9M |
| 🇧🇷Brazil | 7.5% | 140.9M |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Referral | 71.82% | 1.3B |
| 22.69% | 426.4M | |
| Direct | 5.49% | 103.2M |
Search keywords
Usage comparison
Compare the core capabilities of Defined.ai and DefinedCrowd
Defined.ai Core features
DefinedCrowd Core features
Use cases
Defined.ai Use cases
DefinedCrowd Use cases
Best suited roles
Defined.ai Best suited roles
DefinedCrowd Best suited roles
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.




