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。Skyelight 记录了 0 月访问量,增长率为 0%,定价为免费增值,定价请咨询。
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 | skyelight.ai |
| 定价模式 | 定价请咨询 | 免费增值,定价请咨询 |
| 月访问量 | 61.69万 (616,915) | 0 (0) |
| 月度环比流量变化 | +6.87万 (+12.5%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (44.2%) | 🌐 全球 (—) |
| 直接访问 / 月 | 19.14万 | 0 |
| 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.

在真实页面上钉住反馈,直接交给你的 AI 编程助手
在任意页面的任意元素上留言——原型、预发、本地或线上环境——每条线程都附着在它所指向的确切元素上。
Claude、Claude Code、Cursor、OpenAI Codex、Grok、Windsurf、Lovable 与 Bolt 都能列出线程、执行修改,并回复关闭该线程的提交。
评论在输入时即被归类为缺陷、反馈、点子、设计灵感或页面文案等,可按类型排序与批量处理。
把 Claude artifacts 或设计稿发布为托管链接,外部评审者免费加入,评论自动回到你的工作区。
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。
前沿 AI 训练所用的环境,以及负责重复性工作的智能体
携带完整技术上下文录屏报 Bug
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。