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直接比較ベンチマーク
Glean vs NOAN
Glean は月間 3,301,875 訪問、前月比成長率 +0.1%、料金体系料金は要問い合わせを記録しています。NOAN は月間 3,663 訪問、成長率 -15.7%、料金体系有料を記録しています。
Glean は月間 3,301,875 訪問、前月比成長率 +0.1%、料金体系料金は要問い合わせを記録しています。NOAN は月間 3,663 訪問、成長率 -15.7%、料金体系有料を記録しています。
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.
| 項目 / 指標 |  | |
|---|---|---|
| 公式ドメイン | glean.com | getnoan.com |
| 料金モデル | 料金は要問い合わせ | 有料 |
| 月間訪問数 | 330.19万 (3,301,875) | 3663 (3,663) |
| 前月比トラフィック増減 | +4856 (+0.1%) | -684 (-15.7%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (56.6%) | 🇺🇸 アメリカ合衆国 (100%) |
| 月間ダイレクト訪問数 | 262.87万 | 1450 |
| ユーザー評価 | 4.6 | 4.4 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
自社ナレッジに接地したエンタープライズAI
自然言語で質問すると、接続された各システムの文書、チケット、Wiki、メッセージから引用付きの回答を生成し、権限も尊重します。
再利用可能なエージェントが、オンボーディングやアカウント調査、障害対応などの多段階業務をアプリ横断で自動化します。
タスクに応じたモデルと推論レベルを自動選択し、統制されたゲートウェイ経由で40以上のLLMを利用できます。
社内コンテキストに基づいて、ブランドに沿った文書作成、会議要約、データ分析、コンテンツ生成を行います。
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.
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.
無料・オープンソースエージェント型パースと抽出で、あらゆる文書をAIが使えるコンテキストに
特化型Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.
特化型Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.
無料・オープンソースPinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
無料・オープンソースPinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
特化型Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.
特化型Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search.
