專項更強Infinite visual canvas for brainstorming and diagramming, but less structured for text documents and wikis.
NOAN 每月有 3,663 次造訪,月增率 -15.7%,定價模式為付費。Notion 每月有 173,441,670 次造訪,成長率 +0.1%,定價模式為免費增值。

NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | getnoan.com | notion.com |
| 定價模式 | 付費 | 免費增值 |
| 每月造訪次數 | 3663 (3,663) | 1.73億 (173,441,670) |
| 月流量變化量 | -684 (-15.7%) | +20.12萬 (+0.1%) |
| 主要市場與市佔 | 🇺🇸 美國 (100%) | 🇺🇸 美國 (18.4%) |
| 每月直接造訪 | 1450 | 1.35億 |
| 使用者評分 | 4.4 | 4.8 |
| 支援平台 | 網站 | 網站 |

NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
Each fact keeps its date, sources, and the person who verified it, so nothing is silently overwritten and agents can show the receipt behind an answer.
Scope one key per agent, app, or site and limit it to the stacks it needs, so the right keys read the right facts and nothing else.
Turn review on for a project or a single key so any write an agent proposes waits for a human to verify it before it can be read.
See your entire fact base as it stood on any past date, so you can answer what was true when a decision was made.

團隊與 AI 代理一起完成工作的 AI 工作空間
將文件、知識庫、專案與資料庫整合進同一個結構化資訊系統,內容成長時依然保持相互關聯。
在頁面內起草、總結、翻譯和回答問題,或建立自訂代理全天候自動化重複性流程。
在 Notion 及已連接應用中即時找到答案,並附上引用來源以便核實。
運用關聯、彙總、檢視以及龐大的範本庫,為 CRM、內容行事曆等各種情境建模。
專項更強Infinite visual canvas for brainstorming and diagramming, but less structured for text documents and wikis.

專項更強Powerful enterprise-wide search and knowledge discovery across apps, but lacks Notion's flexible doc creation.
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.
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.

專項更強Excellent developer-focused documentation and Git synchronization, but lacks general database and task management.
專項更強採用基於物件的網路化知識管理,但比較不適合傳統的資料夾層級和任務看板。