DealMachine 记录了 410,500 月访问量，月度环比增长为 +63.1%，定价为免费试用，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 | dealmachine.com | scale.com |
| 定价模式 | 免费试用，付费 | 定价请咨询 |
| 月访问量 | 41.05万 (410,500) | 61.69万 (616,915) |
| 月度环比流量变化 | +15.88万 (+63.1%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (94.1%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 28.38万 | 19.14万 |
| 用户评分 | 4.3 | 4.7 |
| 支持的平台 | 网站 | 网站 |
面向房地产投资者的 AI 房产数据、跳查与直邮平台
一个搜索框同时支持地址查询、业主查询和自然语言名单请求，覆盖 1.5 亿+ 房产、2.4 亿+ 人员和 5000 万+ 企业记录。
用自然语言描述目标客户或上传 CSV，AI 会将其转换为精准的房产搜索，并提供 800+ 个细化条件，如净值、空置与持有年限。
为任意房产或联系人名单补充经过验证的电话、邮箱和 100+ 个数据字段，可导出 CSV 或通过 API 交付。
在移动中标记困境房产，为团队追踪行车路线、拍摄照片，并在现场即时调取业主信息。
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。
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。
更擅长自动化数据库培养与 1 对 1 跟进，但缺乏全面的房产记录与地图工具。
