エンタープライズサーチソフトウェアで必要な情報をすばやく発見

必要な情報が見つからないと、業務が止まってしまいます。
Gleanのエンタープライズサーチソフトウェアは、社内のナレッジをAIで一元化し、瞬時に関連性の高い情報を提供します。

Gleanの実力を見る

エンタープライズ AI を採用すべき 5 つの理由

Most people don’t want to design rigid flows or fight with branching logic. They want to type what they need and have the agent actually get it. With Glean, you just describe the task in plain. It breaks it down, fills in the structure, and builds the agent for you. It handles all the messy parts automatically:

#1
重要な洞察を即座に解き放つ
#2
AI を活用したコンテキスト認識型インテリジェンス
#3
企業規模のスケーラビリティと信頼性を重視した設計
#4
迅速な導入と統合

It’s the difference between forcing people through a script and letting them talk like humans. You explain the job. Glean builds the agent flexible, grounded in your data, and ready to run.

Connect securely to enterprise data

Glean gives your agents access to company data without exposing your systems or creating new security risks. Every connection is permission-aware, auditable, and tightly controlled.

  1. No raw credentials to the model
    Agents never see API keys, tokens, or database access. Glean handles execution in a secure layer.
  2. Enforces your existing permissions
    IAM rules, AD groups, SaaS permissions, whatever your org uses, Glean respects it automatically.
  3. Read-only by default
    Write access is scoped, approved, and logged so nothing changes unless you want it to.
  4. Built-in redaction and field-level masking
    Sensitive fields stay hidden or hashed, and logs remain clean without extra engineering work.
  5. Safe access across all your systems
    Databases, internal APIs, SaaS apps — Glean connects to everything without custom scripts or brittle tooling.
  6. Full audit trails
    Every tool call, decision, and data touchpoint is automatically recorded for compliance.
  7. Consistent, up-to-date data
    Agents rely on live enterprise data, not stale snapshots or ad hoc retrievers.

Refine and improve continuously

Agents shouldn’t freeze the day you ship them. Glean is built so you can keep upgrading how your agents think, what they know, and what they’re allowed to do without breaking production or your compliance story.

  1. Ship fast, change safely
    Every edit—new step, different model, tweaked prompt, added tool—is tracked as a version. Test it, compare behavior, and roll back in one click if it doesn’t hold up in the real world.
  2. Learn from every run, not just gut feel
    Glean logs full agent traces: what tools were called, what data was touched, where the conversation branched, and where it failed. You see exactly which step slowed things down, hallucinated, or hit a permission wall and fix that, not everything.
  3. Close the loop with real users
    Thumbs up/down, escalations to humans, edits to outputs, approvals on high-risk actions.Glean turns this into signal. You can tighten prompts, add guardrails, or split a “do everything” agent into focused specialists based on what actually happens in production.
  4. Test prompts, tools, and models in isolation
    Swap a model, harden an instruction, or replace a brittle internal API with a more secure tool without redesigning the whole flow. Glean keeps reasoning, orchestration, and execution loosely coupled so you can tune each layer separately.
  5. Treat data quality as part of iteration, not an afterthought
    Swap a model, harden an instruction, or replace a brittle internal API with a more secure tool without redesigning the whole flow. Glean keeps reasoning, orchestration, and execution loosely coupled so you can tune each layer separately.
  6. Make one win reusable across every agent
    When you find a better triage pattern, review loop, or handoff rule, you can reuse it across agents and teams instead of re-learning the same lesson five times.

With Glean, continuous improvement isn’t a risky rewrite, it's how your agents quietly get faster, safer, and smarter week after week.

How to choose an AI Agent Builder (Features to look for)

If you’re evaluating AI agent builders, here’s what actually matters.

  1. Real agents, not chatbots
    The platform should let agents make decisions and take actions not just generate text.
  2. Built-in orchestration
    Look for branching, looping, retries, and human approvals. If it can’t handle non-linear workflows, it won’t survive production.
  3. Secure, permissioned data access
    Role-based access, automatic redaction, and least-privilege by default. If the builder can’t protect your data, nothing else matters.
  4. Full transparency and logging
    You need to see every step an agent took, which tools it used, and why. Audit trails are non-negotiable.
  5. No-code that still handles complexity
    You should be able to build and edit agents visually, but still add logic, conditions, and the right model for each step.
  6. Easy integration with your stack
    Native connectors, API support, and flexibility to use your preferred LLMs. Avoid platforms that box you in.
  7. Safe iteration and versioning
    Automatic version control, testing, and rollbacks so you can improve agents without breaking live workflows.

Gleanのエンタープライズサーチソフトウェアの仕組み

プロンプト

Gleanの統合検索バーにクエリを入力するだけで、ドキュメント、Slackのメッセージ、Jiraのチケット内のインサイトなど、必要な情報をあらゆる社内アプリから瞬時に検索できます。Gleanは組織内のあらゆるアプリを横断し、必要な情報を的確に見つけ出します。

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理解

ディープラーニングを活用したLLMが、自然言語クエリを意味レベルで理解します。Gleanは組織の独自の言い回しやコンテキストを継続的に学習し、手動によるファインチューニングなしで高精度な検索結果を提供します。

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生成

GleanのAIはクエリのコンテキストを理解し、最新の情報をもとに、ツール全体から最も関連性の高い回答を導き出します。

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パーソナライズ

Gleanは、組織の従業員、コンテンツ、やり取りをつなぐナレッジグラフを構築します。検索結果はユーザーごとに最適化され、各ユーザーの役職に最も関連性の高い情報が表示されます。

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信頼性

Gleanはリアルタイムでインデックスを更新し、既存のアクセス権限を厳格に遵守します。そのため、ユーザーは許可された情報のみを閲覧できます。

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FAQs