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。Sortio 记录了 30,821 月访问量,增长率为 -14.8%,定价为免费增值。
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 | getsortio.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 61.69万 (616,915) | 3.08万 (30,821) |
| 月度环比流量变化 | +6.87万 (+12.5%) | -5366 (-14.8%) |
| 主要市场与份额 | 🇺🇸 美国 (44.2%) | 🇺🇸 美国 (38%) |
| 直接访问 / 月 | 19.14万 | 7440 |
| 用户评分 | 4.7 | 4 |
| 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.

用自然语言指令自动重命名并归档文件的 AI 文件整理工具
用自然语言描述你想要的最终效果,Sortio 会自动规划重命名与移动方案。
深入读取文件内容,生成包含日期、供应商、金额或人名的规范文件名,而非保留难以辨认的原始名称。
每一步操作在执行前都会展示,任何一次整理都可完整回滚。
文件始终留在你的电脑上,所有方案都支持本地大模型与自带密钥。
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。
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.

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。
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体

专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强连接开发者与经过验证的真人参与者来进行 RLHF 和模型评估研究,而不是提供托管式标注。
可整理团队文档并跨文件回答问题的 AI 文件助手