Scale: 提供大规模的企业级标注与模型评估，但通常需要比 Labelbox 更高的企业预算。 Labelbox 记录了 762,803 月访问量，月度环比增长为 -22.8%，定价为定价请咨询。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
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 | labelbox.com | scale.com |
| 定价模式 | 定价请咨询 | 定价请咨询 |
| 月访问量 | 76.28万 (762,803) | 61.69万 (616,915) |
| 月度环比流量变化 | -22.52万 (-22.8%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (21.9%) | 🇺🇸 美国 (44.2%) |
|---|
| 直接访问 / 月 | 37万 | 19.14万 |
|---|
| 用户评分 | 4.4 | 4.7 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
前沿 AI 训练所用的环境，以及负责重复性工作的智能体
覆盖视觉、语言与生成任务的结构化标注、数据策展、模型评估与人机协同复核，构成训练与评估数据的基础。
Recursion 智能体由构建、告警、代码提交、检查点和定时任务自主启动，并在后台持续工作直至任务完成且可审查。
专业智能体覆盖软件工程、可靠性、安全、ML 研究、评估、研发、产品与财务，从修复不稳定测试到撰写事故复盘初稿。
每次运行都由评分智能体打分，评分后的会话留下记忆、笔记与技能，供下一次会话在行动前读取。
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.
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。
#1
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.
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Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Focuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
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。
Provides efficient smart annotation tools and managed labeling services, but has a smaller ecosystem for complex enterprise agent workflows.
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Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
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Focuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
Provides efficient smart annotation tools and managed labeling services, but has a smaller ecosystem for complex enterprise agent workflows.
