专项更强简化计算机视觉数据集标注与模型训练,但不太适合通用的 LLM 文本任务。
Scale 记录了 616,915 月访问量,月度环比增长为 +12.5%,定价为定价请咨询。Superhuman 记录了 6,514,241 月访问量,增长率为 +7.9%,定价为付费。
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.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | scale.com | superhuman.com |
| 定价模式 | 定价请咨询 | 付费 |
| 月访问量 | 61.69万 (616,915) | 651.42万 (6,514,241) |
| 月度环比流量变化 | +6.87万 (+12.5%) | +47.75万 (+7.9%) |
| 主要市场与份额 | 🇺🇸 美国 (44.2%) | 🇺🇸 美国 (56.8%) |
| 直接访问 / 月 | 19.14万 | 495.94万 |
| 用户评分 | 4.7 | 4.5 |
| 支持的平台 | 网站 | 网站 |
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.

兼具智能体、邮件与文档的 AI 生产力套件
Superhuman Go 把 AI 智能体带进你正在使用的工具与标签页,提供行内建议与情境化对话。
自动草稿、分组收件箱、自动标签与自动归档,让收件箱以最少手工整理保持可控。
协作式文档,把文字、表格、数据与工作流放在同一个连通的界面上。
在对话中描述需求或使用可视化构建器,然后把智能体分享给同事或公司目录。
专项更强简化计算机视觉数据集标注与模型训练,但不太适合通用的 LLM 文本任务。
专注于企业级数据标注和训练数据整理,类似于 Scale 的核心标注业务。
结合了共享收件箱与团队聊天及 AI 协助,但在个人快速处理方面的优化感稍弱。

提供跨设备的智能收件箱与 AI 写作工具,但高级的自定义筛选快捷方式较少。
提供企业级多模态标注和数据管理工具,但对托管式标注人力的强调较少。

专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。

专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.

提供具备自动摘要与邮件分类的 AI 邮件客户端,但缺乏 Superhuman 那种极致的速度专注。
提供具备自动摘要与邮件分类的 AI 邮件客户端,但缺乏 Superhuman 那种极致的速度专注。

免费 / 开源提供灵活的开源替代方案,适用于自定义数据标注和人机回环(Human-in-the-loop)标注管道。