Scale 每月有 616,915 次造訪,月增率 +12.5%,定價模式為需聯絡報價。Ultralytics 每月有 793,423 次造訪,成長率 +8.7%,定價模式為免費增值。
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 | ultralytics.com |
| 定價模式 | 需聯絡報價 | 免費增值 |
| 每月造訪次數 | 61.69萬 (616,915) | 79.34萬 (793,423) |
| 月流量變化量 | +6.87萬 (+12.5%) | +6.35萬 (+8.7%) |
| 主要市場與市佔 | 🇺🇸 美國 (44.2%) | 🇨🇳 中國 (15.2%) |
| 每月直接造訪 | 19.14萬 | 23.97萬 |
| 使用者評分 | 4.7 | 4.6 |
| 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.

即時視覺 AI 模型,以及訓練、標註與部署它們的完整平台
單一模型家族涵蓋偵測、實例分割、姿態估計、旋轉框、分類與追蹤,並針對 GPU、CPU 與邊緣裝置的即時推論調校。
使用 SAM 輔助標註打標資料,在雲端 GPU 上透過 AutoTrain 訓練,並部署到閒置時縮容至零的託管區域。
將訓練好的模型匯出為 ONNX、TensorRT、CoreML、TFLite 等多種格式,用於雲端伺服器、行動裝置與嵌入式硬體。
可採用 AGPL-3.0 開源版本,或購買企業授權,把 YOLO 嵌入閉源產品而不受傳染性條款約束。

專項更強Enterprise-grade labeling and data curation platform for complex computer vision training pipelines.
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.
專項更強Provides advanced multimodal dataset curation and annotation tools specifically for computer vision teams.
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.
專項更強專注於透過提示詞快速組合端到端的企業級電腦視覺應用程式。