Scale 每月有 616,915 次造訪，月增率 +12.5%，定價模式為需聯絡報價。Spatial.ai 每月有 7,304 次造訪，成長率 -32.1%，定價模式為付費。
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.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | scale.com | spatial.ai |
| 定價模式 | 需聯絡報價 | 付費 |
| 每月造訪次數 | 61.69萬 (616,915) | 7304 (7,304) |
| 月流量變化量 | +6.87萬 (+12.5%) | -3458 (-32.1%) |
| 主要市場與市佔 | 🇺🇸 美國 (44.2%) | 🇺🇸 美國 (48.8%) |
| 每月直接造訪 | 19.14萬 | 2895 |
| 使用者評分 | 4.7 | 4.2 |
| 支援平台 | 網站 | 網站 |
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.
專為零售行銷人打造的行為式人群分群平台
把每一戶美國家庭歸入 17 個上層群體與 80 個行為分群，依據人口統計、社群媒體行為、行動位置資料與信用卡消費紀錄。
上傳 CRM 聯絡人名單或門店訪問報告，或直接畫一個多邊形，即可看出哪些分群價值最高、哪些最常造訪某地點，通常只需數分鐘。
依分群對比自身與競爭對手，並長期追蹤各分群在不同品牌上的花費，資料來自超過 1 億筆信用卡交易。
把核心分群匯出用於 Meta、TikTok、Google、Snapchat、X、程式化平台與直郵投放，或用人口與分群編碼豐富 CRM。
提供企業級多模態標註與資料管理工具，但較不強調託管式的標註人力。
專項更強在互聯環境中追蹤、評估並交付 AI 模型與代理。
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
免費 / 開源提供具彈性的開源替代方案，適用於自訂資料標註與真人迴路（Human-in-the-loop）標註管線。
專項更強打造、模擬、評估並監控能自我改進的 AI 代理
專項更強Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
