Scale 每月有 616,915 次造訪,月增率 +12.5%,定價模式為需聯絡報價。Variational AI 每月有 4,282 次造訪,成長率 -13.5%,定價模式為需聯絡報價。
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.

依目標產品特徵,以生成式 AI 設計全新、可合成的小分子
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | scale.com | variational.ai |
| 定價模式 | 需聯絡報價 | 需聯絡報價 |
| 每月造訪次數 | 61.69萬 (616,915) | 4282 (4,282) |
| 月流量變化量 | +6.87萬 (+12.5%) | -670 (-13.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (44.2%) | 🇺🇸 美國 (61.8%) |
| 每月直接造訪 | 19.14萬 | 1227 |
| 使用者評分 | 4.7 | 4.4 |
| 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.

依目標產品特徵,以生成式 AI 設計全新、可合成的小分子
Enki 已在 873 個藥物靶點上預訓練,涵蓋激酶、GPCR、蛋白酶、氧化還原酶、水解酶、離子通道等主要類別,讓專案無需從零建置模型即可開始生成候選分子。
你指定在靶、脫靶與理化性質,Enki 生成符合定義的全新多樣分子,同時優化活性、選擇性、ADMET、藥動學與合成可行性。
分子在設計階段即考慮合成可行性,公司稱合成成功率約 90%,化學家拿到的是真正能做出來、能測試的結構,而非理論構想。
執行可在數週而非數月內產出約 100 個類先導化合物,讓團隊直接進入先導優化,而不必進行漫長的先導辨識活動。

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
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 / 開源一個通用 API,串接 500+ AI 模型與 1,000+ 代理工具

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