# Glean vs NOAN

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. NOAN records 3,663 monthly visits with -15.7% growth and Paid pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [NOAN](https://openaitools.app/tool/noan) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://getnoan.com |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Assistant, AI Knowledge Management, Large Language Models (LLMs), AI Marketing |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 3,301,875 | 3,663 |
| MoM Growth Rate | +0.1% | -15.7% |
| Primary Market | United States | United States |
| Direct Visits | 2,628,666 | 1,450 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 7 | 0 |
| Supported Platforms | Website | Website |

## Glean

Glean addresses a problem most enterprises hit after their first wave of AI adoption: models are powerful but isolated from the context of the business. The platform builds an enterprise context layer by indexing and understanding content across the tools a company already runs on, then uses that grounding to improve both answer quality and efficiency. Because fewer irrelevant tokens need to be sent to a model, the same question costs less to serve.

The product surface spans four areas: enterprise search, an AI assistant for everyday work, an agent platform for automating long-running processes, and Glean Protect for security and governance. Administrators also get model routing and an AI gateway, letting them decide which models handle which requests without rebuilding integrations. Everything inherits the access permissions of the source systems, so answers stay within each employee's existing rights.

Glean serves large organisations across finance, healthcare, retail, technology, and government, with published customers including Booking.com, Zillow, and Ericsson. It holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, GDPR, and TX-RAMP Level 2 attestations, and reports 275+ connectors, 40+ supported language models, and 99.9%+ uptime on core services.

**Pricing & Plans:** Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

- **Permission-aware enterprise search:** Ask a question in plain language and get a cited answer assembled from documents, tickets, wikis, and messages across every connected system, with permissions respected.
- **Agent builder and orchestration:** Reusable agents handle multi-step workflows such as onboarding, account research, or incident follow-up by orchestrating actions across business apps.
- **Model routing and AI gateway:** Glean automatically picks and routes requests to the right model and reasoning level, giving teams access to 40+ LLMs through a single governed gateway.
- **Grounded content and analysis:** Draft on-brand documents, summarise meetings, analyse data, and create content grounded in company context rather than generic model knowledge.
- **Governance and observability:** Administrators get usage controls, spend visibility, audit logging, and compliance-ready governance for every AI interaction.

**Strengths:** Answers cite source systems and inherit their permissions, which removes the main blocker to enterprise-wide rollout; One platform covers search, assistant, and agents instead of three separate vendors; Model routing and token efficiency directly reduce the cost per AI query at scale; 275+ pre-built connectors shorten integration work considerably

**Limitations:** Enterprise pricing is quote-based, so budget planning requires a sales conversation; Full value depends on connecting many internal data sources, which takes IT effort; Smallest teams may find the platform more than they need

[Profile (Markdown)](https://openaitools.app/tool/glean.md)

## NOAN

NOAN describes itself as fact infrastructure for agentic companies. The problem it addresses is a familiar one for teams running AI agents: the price lives in fourteen system prompts, three of which are wrong; retrieval surfaces last year's deck next to this year's; memory recalls what someone said on a call rather than what was decided. NOAN's answer is to keep your company's verified facts in one place and have every agent, app, and site read them live from a single API.

Technically, NOAN exposes a plain REST API over api.getnoan.com/v1 and an MCP server at mcp.getnoan.com/mcp. You create a project, then issue a key for each agent, app, or site, scoped to the stacks it needs. A single GET returns the latest verified version of a fact block, along with who verified it and its sources. Agents can write back, posting new versions that supersede the previous ones while keeping the lineage — and if review-on-write is enabled, those writes wait for a person to approve them before anything can read them. Around that core, NOAN handles the surrounding mechanics: classification, permissions, partner sharing, and per-key activity auditing.

The platform also ships the workspace pieces agents need day to day — a shared task board for people and agents, contacts with history and open work, notes linked to facts, and reusable assets and templates. It integrates with Claude, ChatGPT, Cursor, and other MCP clients, and supports multiple model providers because the model is a configuration choice. Beyond the tooling, NOAN publishes a startup program and grant, plus material for agencies that want to run a separate fact base per client.

**Pricing & Plans:** Paid, with a free starting point: you can start free and scale when you ship, and pricing is presented as live/usage-based in the app. API access, MCP, versioned facts, review-on-write, and scoped keys are part of the platform, with higher tiers aimed at teams and agencies running the facts layer in production. A startup program and grant are also offered.

- **Verified, versioned facts:** 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.
- **Scoped keys and permissions:** 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.
- **Review on write:** 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.
- **Time Travel:** See your entire fact base as it stood on any past date, so you can answer what was true when a decision was made.
- **Activity on the record:** Every agent action lands on one timeline, marked by the key that made it, giving you auditability across agents, apps, and sites.

**Strengths:** Solves a real and specific agent problem — grounding — instead of adding another generic chatbot; Version history, sources, and named verification make outputs auditable and defensible; Model-agnostic and accessible over both REST and MCP, so it fits many stacks; Review-on-write lets agents propose updates without letting them silently change pricing or policy

**Limitations:** The product is a new category (fact infrastructure), so new users need to absorb unfamiliar concepts before they see value; Value depends on teams actually maintaining facts, so adoption requires some process discipline; Pricing is presented as dynamic and depends on the scale you ship at; It complements rather than replaces memory or RAG layers, so it is another integration to wire up

[Profile (Markdown)](https://openaitools.app/tool/noan.md)

## Frequently Asked Questions

### How do Glean and NOAN compare in monthly traffic?

Glean has 3,301,875 monthly visits, while NOAN has 3,663. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Glean has a month-over-month growth rate of +0.1%; NOAN has -15.7%.

### How does pricing compare?

Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase. NOAN: Paid. Paid, with a free starting point: you can start free and scale when you ship, and pricing is presented as live/usage-based in the app. API access, MCP, versioned facts, review-on-write, and scoped keys are part of the platform, with higher tiers aimed at teams and agencies running the facts layer in production. A startup program and grant are also offered.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 3 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | The data, evaluations and systems behind AI that has to be right. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.md) |
| 6 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 9 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 10 | [Moveworks](https://openaitools.app/tool/moveworks) | 168,527 | -4.3% | Contact for Pricing | Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search. | [.md](https://openaitools.app/tool/moveworks.md) |

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Source: https://openaitools.app/compare/glean-vs-noan

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