免費 / 開源在本機或雲端執行與打造開源 AI 模型
Scale 每月有 616,915 次造訪,月增率 +12.5%,定價模式為需聯絡報價。Vana 每月有 5,701 次造訪,成長率 -45.5%,定價模式為免費。
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.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.

讓使用者擁有並授權 AI 所用資料的開放資料基礎設施
使用者透過開源連接器從已在使用的服務中蒐集資料,資料始終保存在自己的裝置或自己控制的加密儲存中。
本地執行的存取引擎對資料加密,僅在存在有效鏈上許可時釋出資料,每次讀取都會寫入可審查的存取紀錄。
安裝 @opendatalabs/vana-sdk 即可請求使用者批准的資料、從個人伺服器讀取,並從應用託管餘額結算協定費用。
群體可匯集資料用於隱私保護的運算任務,讓 AI 使用貢獻資料而不暴露原始紀錄。
免費 / 開源在本機或雲端執行與打造開源 AI 模型
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免費 / 開源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
提供企業級多模態標註與資料管理工具,但較不強調託管式的標註人力。

專項更強在互聯環境中追蹤、評估並交付 AI 模型與代理。

專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.

免費 / 開源提供具彈性的開源替代方案,適用於自訂資料標註與真人迴路(Human-in-the-loop)標註管線。