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。Syncly 记录了 12,542 月访问量,增长率为 -1.8%,定价为免费试用,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 | syncly.app |
| 定价模式 | 定价请咨询 | 免费试用,定价请咨询 |
| 月访问量 | 61.69万 (616,915) | 1.25万 (12,542) |
| 月度环比流量变化 | +6.87万 (+12.5%) | -226 (-1.8%) |
| 主要市场与份额 | 🇺🇸 美国 (44.2%) | 🇺🇸 美国 (63.8%) |
| 直接访问 / 月 | 19.14万 | 4378 |
| 用户评分 | 4.7 | 4.2 |
| 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.

读懂短视频中人们所说与所展示内容的 AI 社交聆听平台
可识别说出口、写在画面上或以产品形式出镜的品牌提及,因此没有打标签或话题标记的内容同样能被捕捉。
用自然语言描述你要收集的品牌、产品或话题,并定义什么算作相关,让你掌控进入数据集的内容,而非依赖固定关键词表。
查看反复出现的关键词、话题标签和情感倾向,理解人们如何描述你的品牌或品类,每条洞察都可回溯到原帖。
将播放量和互动数据与内容及推动它们的创作者并列比较,帮助解释某段对话或某条帖子为何爆发。
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.
专项更强面向 UGC 采集与社交聆听的 AI 创作者营销平台

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.