Sieve 每月有 124 次造訪，月增率 +1.6%，定價模式為需聯絡報價。SuperAnnotate 每月有 386,034 次造訪，成長率 +37.4%，定價模式為免費試用、需聯絡報價。
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.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | sievedata.com | superannotate.com |
| 定價模式 | 需聯絡報價 | 免費試用、需聯絡報價 |
| 每月造訪次數 | 124 (124) | 38.6萬 (386,034) |
| 月流量變化量 | +2 (+1.6%) | +10.5萬 (+37.4%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇺🇸 美國 (31%) |
| 每月直接造訪 | 54 | 24.83萬 |
| 使用者評分 | 4.1 | 4.6 |
| 支援平台 | 網站 | 網站 |
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.
專項更強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.
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.
專項更強Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
專項更強Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments.
免費 / 開源一個通用 API，串接 500+ AI 模型與 1,000+ 代理工具
免費 / 開源面向具身智慧與機器人訓練的影片資料基礎設施
專項更強Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
專項更強Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling.
免費 / 開源強大的開源資料標註並支援深度自訂，但需要自行架構且缺乏開箱即用的託管企業工作流程。
