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.
Grably is a decentralized data ownership network (DeDON) providing high-quality, ethically sourced AI training data. It offers a vast collection of off-the-shelf datasets, custom data collection, curation, and annotation services to accelerate AI development while allowing users to monetize their data securely and transparently.
Product overview
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.
Grably Product overview
Grably is a decentralized data ownership network (DeDON) providing high-quality, ethically sourced AI training data. It offers a vast collection of off-the-shelf datasets, custom data collection, curation, and annotation services to accelerate AI development while allowing users to monetize their data securely and transparently.
Detailed feature comparison
| Feature | DefinedCrowd | Grably |
|---|---|---|
| Primary category | Machine Learning | Data Labeling |
| Added | 2025-09-17 | 2025-09-19 |
| Pricing | Paid | Paid |
| Official website | login.microsoftonline.com | grably.us |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 1.9B | 4.2K |
| Monthly growth | -4.8% | Not verified |
| Favorites | 86 | 103 |
| Details | View details | View details |
DefinedCrowd vs Grably monthly traffic
Compare DefinedCrowd and Grably by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the DefinedCrowd vs Grably monthly traffic comparison, DefinedCrowd currently shows 1.9B visits and Grably shows 4.2K; DefinedCrowd has about 450,019.2 times the visible traffic of Grably, an absolute difference of about 1.9B visits. This reflects visible reach, not feature quality or paid users.
Only DefinedCrowd has complete third-party traffic details; Grably uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
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
Grably monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of DefinedCrowd and Grably
DefinedCrowd Core features
Grably Core features
Use cases
DefinedCrowd Use cases
Grably Use cases
Best suited roles
DefinedCrowd Best suited roles
Grably Best suited roles
DefinedCrowd vs Grably:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth DefinedCrowd vs Grably comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. DefinedCrowd is primarily listed under “Machine Learning”, while Grably is primarily listed under “Data Labeling”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (DefinedCrowd: Machine Learning; Grably: Data Labeling); Monthly visits (DefinedCrowd: 1.9B; Grably: 4.2K); Favorites (DefinedCrowd: 86; Grably: 103); Website (DefinedCrowd: login.microsoftonline.com; Grably: grably.us); Added (DefinedCrowd: 2025-09-17; Grably: 2025-09-19). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the DefinedCrowd vs Grably monthly traffic comparison, DefinedCrowd currently shows 1.9B visits and Grably shows 4.2K; DefinedCrowd has about 450,019.2 times the visible traffic of Grably, an absolute difference of about 1.9B visits. This reflects visible reach, not feature quality or paid users.
Only DefinedCrowd has complete third-party traffic details; Grably uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
DefinedCrowd and Grably currently overlap in shared tags: AI training data, computer vision, data annotation, data collection, data labeling, and machine learning; shared roles: CTO, Data Scientist, and Product Manager. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
DefinedCrowd's unique categories/tags are Machine Learning, Crowdsourcing, Data Labeling, AI data platform, crowdsourcing, natural language processing, and speech recognition; Grably's are Data Labeling, Datasets, Machine Learning, CCPA, data monetization, datasets, decentralized data, and DeDON. 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
DefinedCrowd has no verified rating, 0 comments, 86 favorites, and 80 likes;Grably has no verified rating, 0 comments, 103 favorites, and 94 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
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 natural language processing, or the users include AI/ML Engineer, AI Project Manager, and Researcher. 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.
When to evaluate Grably first
Put Grably on the priority trial list when the task aligns with “Data Labeling” and especially Data Labeling, Datasets, Machine Learning, CCPA, data monetization, and datasets, or the users include AI Researcher, Data Analyst, Machine Learning Engineer, and Software Developer. This follows recorded positioning and does not imply unlisted capabilities are absent.
Grably also currently records: pricing is paid, product type is website, 4.2K on-site monthly views, 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 DefinedCrowd and Grably, 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.




