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。Spatial.ai 记录了 7,304 月访问量,增长率为 -32.1%,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 | spatial.ai |
| 定价模式 | 定价请咨询 | 付费 |
| 月访问量 | 61.69万 (616,915) | 7304 (7,304) |
| 月度环比流量变化 | +6.87万 (+12.5%) | -3458 (-32.1%) |
| 主要市场与份额 | 🇺🇸 美国 (44.2%) | 🇺🇸 美国 (48.8%) |
| 直接访问 / 月 | 19.14万 | 2895 |
| 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.

面向零售营销者的行为式人群细分平台
把全美每一户家庭归入 17 个顶层群体与 80 个行为细分,依据人口统计、社交媒体行为、移动位置数据与信用卡消费记录。
上传 CRM 联系人名单或门店访问报告,或直接画一个多边形,即可看出哪些细分价值最高、哪些最常到访某地点,通常只需数分钟。
按细分对比自身与竞争对手,并长期追踪各细分在不同品牌上的花费,数据来自超过 1 亿笔信用卡交易。
把核心细分导出用于 Meta、TikTok、Google、Snapchat、X、程序化平台与直邮投放,或用人口与细分编码丰富 CRM。
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.
免费 / 开源免费的 Airbnb 数据分析、短租收益测算与 AI 动态定价
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。
免费 / 开源按需生成有数据支撑的用户画像、数字分身与合成调研