#1Sieve は月間 124 訪問、前月比成長率 +1.6%、料金体系料金は要問い合わせを記録しています。SuperAnnotate は月間 386,034 訪問、成長率 +37.4%、料金体系無料トライアル、料金は要問い合わせを記録しています。
Sieve is a data lab that supplies multimodal video, audio and interaction datasets — egocentric demonstrations, multi-camera studio recordings, robotics evaluations and large-scale media — to frontier AI teams.

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
| 項目 / 指標 | ![]() | |
|---|---|---|
| 公式ドメイン | sievedata.com | superannotate.com |
| 料金モデル | 料金は要問い合わせ | 無料トライアル、料金は要問い合わせ |
| 月間訪問数 | 124 (124) | 38.6万 (386,034) |
| 前月比トラフィック増減 | +2 (+1.6%) |
| +10.5万 (+37.4%) |
| 主要市場とシェア | 🌐 グローバル (—) | 🇺🇸 アメリカ合衆国 (31%) |
|---|
| 月間ダイレクト訪問数 | 54 | 24.83万 |
|---|
| ユーザー評価 | 4.1 | 4.6 |
|---|
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
|---|
Sieve is a data lab that supplies multimodal video, audio and interaction datasets — egocentric demonstrations, multi-camera studio recordings, robotics evaluations and large-scale media — to frontier AI teams.
First-person recordings of economically valuable physical work, paired with hand-pose, motion and synchronised sensor annotations.
Multi-camera video and audio collection with bespoke rigs and controlled environments built to a client's specification.
Both simulated and real-world test suites that measure how well robot policies perform across tasks and conditions.
Petabyte-scale synchronised video and audio datasets, including published engineering work on embedding a billion videos for retrieval.

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
#1無料・オープンソースリアルタイム画像・動画 API、エージェント型 DAM、クリエイティブ自動化を 1 つに

強力な企業向けデータラベリングとエージェント自動化ですが、独自の共同作業インターフェースと料金体系を備えています。

特化型Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.

無料・オープンソース画像・テキスト・音声・動画・ディープフェイクを判定するマルチモーダルAI検出API

特化型Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
コンピュータービジョン向けの優れたマルチモーダルデータインフラですが、SuperAnnotateのより幅広い企業向けプロジェクト管理ツールの一部が不足しています。

無料・オープンソース500以上のAIモデルと1,000以上のエージェントツールを1つのAPIで
特化型Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.

無料・オープンソース高いカスタマイズ性を誇る強力なオープンソースデータラベリングですが、セルフホストが必要であり、すぐに使える管理されたエンタープライズワークフローが不足しています。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
特化型Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
無料・オープンソース物理 AI とロボット学習のための動画データ基盤
特化型Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
無料・オープンソース高いカスタマイズ性を誇る強力なオープンソースデータラベリングですが、セルフホストが必要であり、すぐに使える管理されたエンタープライズワークフローが不足しています。