DefinedCrowdは、高品質なAIトレーニングデータを提供するリーディングカンパニーです。グローバルなクラウドワーカーを活用し、機械学習モデル向けのデータの収集、アノテーション、エンリッチメントを行い、特に音声、NLP、コンピュータビジョンに特化しています。企業が堅牢でバイアスのないAIアプリケーションを大規模に構築できるよう、フルマネージドサービスを提供します。
Grablyは、高品質で倫理的に調達されたAIトレーニングデータを提供する分散型データ所有権ネットワーク(DeDON)です。既製のデータセットの広範なコレクション、カスタムデータ収集、キュレーション、アノテーションサービスを提供し、AI開発を加速させると同時に、ユーザーが安全かつ透明にデータを収益化できるようにします。
製品概要
DefinedCrowd 製品概要
DefinedCrowdは、高品質なAIトレーニングデータを提供するリーディングカンパニーです。グローバルなクラウドワーカーを活用し、機械学習モデル向けのデータの収集、アノテーション、エンリッチメントを行い、特に音声、NLP、コンピュータビジョンに特化しています。企業が堅牢でバイアスのないAIアプリケーションを大規模に構築できるよう、フルマネージドサービスを提供します。
Grably 製品概要
Grablyは、高品質で倫理的に調達されたAIトレーニングデータを提供する分散型データ所有権ネットワーク(DeDON)です。既製のデータセットの広範なコレクション、カスタムデータ収集、キュレーション、アノテーションサービスを提供し、AI開発を加速させると同時に、ユーザーが安全かつ透明にデータを収益化できるようにします。
Detailed feature comparison
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 月間訪問数
- 2026/1: 1.8B 月間訪問数
- 2026/2: 1.8B 月間訪問数
- 2026/3: 2B 月間訪問数
- 2026/4: 2B 月間訪問数
- 2026/5: 1.9B 月間訪問数
主要地域
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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| 参照元 | 71.82% | 1.3B |
| Eメール | 22.69% | 426.4M |
| ダイレクト | 5.49% | 103.2M |
検索キーワード
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 “機械学習”, while Grably is primarily listed under “データラベリング”, 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: 機械学習; Grably: データラベリング); 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トレーニングデータ、コンピュータビジョン、データアノテーション、データ収集、データラベリング、機械学習; shared roles: 最高技術責任者、データサイエンティスト、プロダクトマネージャー. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
DefinedCrowd's unique categories/tags are 機械学習、クラウドソーシング、データラベリング、AIデータプラットフォーム、自然言語処理、音声認識; Grably's are データラベリング、データセット、機械学習、CCPA、データ収益化、分散型データ、DeDON、倫理的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
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 “機械学習” and especially 機械学習、クラウドソーシング、データラベリング、AIデータプラットフォーム、自然言語処理、音声認識, or the users include AI/MLエンジニア、AIプロジェクトマネージャー、研究者. 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 “データラベリング” and especially データラベリング、データセット、機械学習、CCPA、データ収益化、分散型データ, or the users include AI研究者、データアナリスト、機械学習エンジニア、ソフトウェア開発者. 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.




