CalcForge 记录了 31,360 月访问量，月度环比增长为 -4.8%，定价为 Free, Paid。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 | calcforge.com | scale.com |
| 定价模式 | Free, Paid | 定价请咨询 |
| 月访问量 | 3.14万 (31,360) | 61.69万 (616,915) |
| 月度环比流量变化 | -1564 (-4.8%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇮🇳 印度 (16.1%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 1.25万 | 19.14万 |
| 用户评分 | 4.3 | 4.7 |
| 支持的平台 | 网站 | 网站 |
面向土木与结构设计的开源工程计算器
结构、岩土、隧道与承包商工具，全部免费且在 GitHub 上开源。
可检索的建筑数据集，覆盖高层建筑、桥梁、隧道、大坝与住宅。
注册用户可获得计算过程、弯矩/剪力/挠度图和 PDF 导出。
涵盖 Python、建筑 AI、AI 治理与构建 AI 代理的四条项目制学习路径。
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。
免费 / 开源检索并研究数百万公开的 SKILL.md 智能体技能
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
