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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.
把問題轉化為可信、可治理答案的 agentic 資料分析平台
用自然語言提問，獲得帶推理過程的答案以及背後的 SQL、圖表與表格，可在 Hex 工作台、Slack 及開發工具中呼叫。
在同一專案中並行撰寫 SQL、Python 與 R，再把儲存格變成可互動、可參數化的資料應用與儀表板，無需另備 BI 製作工具。
集中管理指標、語意與企業定義，讓答案保持一致；同時明確顯示 agent 缺乏依據的位置，便於修復。
對 agent 執行帶評分規準的測試集，衡量答案品質，並在資料與脈絡演進時第一時間發現品質回退。
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.
