DevDynamics 记录了 7,079 月访问量，月度环比增长为 +31.6%，定价为免费增值，免费试用，付费。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 | devdynamics.ai | scale.com |
| 定价模式 | 免费增值，免费试用，付费 | 定价请咨询 |
| 月访问量 | 7079 (7,079) | 61.69万 (616,915) |
| 月度环比流量变化 | +1699 (+31.6%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (63.2%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 2795 | 19.14万 |
| 用户评分 | 4.2 | 4.7 |
| 支持的平台 | 网站 | 网站 |
把交付数据转化为更优软件决策的工程分析平台
开箱即用的 DORA 指标、周期时间、吞吐量与软件质量看板，数据自动从现有工具链抽取。
用自然语言询问团队表现、交付瓶颈与指标变化，答案基于企业自身的工程数据生成。
基于历史交付数据预测计划、史诗与版本的完成时间，并对照可量化的工程目标追踪进展。
开箱支持 Jira、GitHub、CI/CD 系统与 PagerDuty，并可定制集成，让流水线没有盲区。
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。
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。
专项更强发现并自动修复漏洞的一体化应用安全平台
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.
专项更强让每个代码仓库保持正轨的 AI 代码审查与状态更新
