Aikido Security 每月有 757,491 次造訪,月增率 +9.6%,定價模式為免費增值。Scale 每月有 616,915 次造訪,成長率 +12.5%,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.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | aikido.dev | scale.com |
| 定價模式 | 免費增值 | 需聯絡報價 |
| 每月造訪次數 | 75.75萬 (757,491) | 61.69萬 (616,915) |
| 月流量變化量 | +6.63萬 (+9.6%) | +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (25%) | 🇺🇸 美國 (44.2%) |
| 每月直接造訪 | 30.37萬 | 19.14萬 |
| 使用者評分 | 4.4 | 4.7 |
| 支援平台 | 網站 | 網站 |

找出並自動修復漏洞的一體化應用安全平台
在同一條流程中完成 SCA 相依掃描、SAST、AI 程式碼稽核、機密偵測、授權/SBOM 產生、惡意程式偵測與程式碼品質檢查。
AI 過濾誤報並產生修復程式碼或 pull request,縮短分流時間與修復路徑。
涵蓋 CSPM 錯誤設定、IaC 掃描、Kubernetes 與容器映像掃描、虛擬機洞察、DSPM 及雲端攻擊路徑對應。
持續 Web/API 測試、DAST、攻擊面測繪與自主滲透代理,持續驗證真正可利用的風險。
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.

專項更強Deep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.
專項更強Deep GitHub pull request code reviews highlighting security issues, but operates strictly as a code reviewer rather than complete AppSec platform.
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.