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 | datadoghq.com | scale.com |
| 定價模式 | 免費增值、免費試用、付費、需聯絡報價、免費 | 需聯絡報價 |
| 每月造訪次數 | 517.58萬 (5,175,760) | 61.69萬 (616,915) |
| 月流量變化量 | -26.36萬 (-4.8%) | +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (41.4%) | 🇺🇸 美國 (44.2%) |
| 每月直接造訪 | 274.58萬 | 19.14萬 |
| 使用者評分 | 4.7 | 4.7 |
| 支援平台 | 網站 | 網站 |
為雲端規模工程團隊打造的统一可觀測性、安全與事件應變平台
agent、雲端整合與 OpenTelemetry 收集器把指標、分散式追蹤、效能剖析與日誌集中到同一平台,可在各種訊號之間直接跳轉。
Bits AI、Agent Builder 與 LLM/AI Agent 可觀測性能力,協助團隊快速研判告警、說明異常,並監控模型延遲、token 花費與 agent 呼叫鏈。
Cloud SIEM、雲端安全態勢管理、漏洞管理、工作負載防護與程式碼掃描,將威脅訊號與既有遙測資料相互關聯。
真實使用者監控、工作階段重播、產品分析、合成與行動測試,與 CI 可視性、測試最佳化、功能旗標及 DORA 指標並列提供。
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.
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.
專項更強AI 工程團隊的協作層
專項更強在整個組織內統一 LLM 評估、可觀測性與紅隊測試標準