# Glean vs Hakutaku

Glean records 3,301,875 monthly visits with +0.1% month-over-month growth and Contact for Pricing pricing. Hakutaku records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Glean](https://openaitools.app/tool/glean) | [Hakutaku](https://openaitools.app/tool/hakutaku) |
| :--- | :--- | :--- |
| Website URL | https://www.glean.com | https://hakutaku.co |
| Categories | AI Productivity Tools, AI Agent, AI Assistant, AI Search Engine | AI Knowledge Management, AI Knowledge Base, AI Search Engine, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 3,301,875 | 0 |
| MoM Growth Rate | +0.1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 2,628,666 | 0 |
| Review Score | 4.6 | 4.5 |
| 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)

## Hakutaku

Hakutaku addresses a specific and familiar organisational bottleneck: the things that matter most live in the heads of two or three people, usually the founder's, so the team asks questions all day and nothing moves until that person replies. Hakutaku's answer is to build a clone of that judgment — one that learns how the person decides and answers the team in their place, so the founder remains the founder but stops being the bottleneck.

The mechanism has four parts. Ingestion pulls in meetings, documents and the tools the company already runs, with a Transcript feature recording and transcribing meetings. An ontology converts messy material into named entities — people, clients, projects, decisions and rules — explicitly including decisions that were rejected. A knowledge graph then holds the most recent decision on every subject along with what it replaced. Finally a harness of agents, which Hakutaku calls yokais, consults the graph before responding, and also learns from how the team uses it and from the agents the team builds. Those agents surface in Hakutaku's own chat, in its Agent Builder, and inside Claude or ChatGPT via MCP.

The product is deliberately positioned as a decision layer rather than a generic assistant: the site states plainly that it is not a chatbot, not a RAG wrapper and not AI consulting with slides. Hakutaku is based in São Paulo, Brazil, publishes its plan at R$200 per month, and routes companies needing bespoke integration, a dedicated agent or on-premises deployment to a conversation with the team. Access is currently through a closed beta and a three-minute pre-assessment with a waitlist.

**Pricing & Plans:** Hakutaku publishes a single plan at R$200 per month. Companies requiring custom integration, a bespoke agent or an on-premises deployment are invited to contact the team for pricing, so larger deals are quote-based. Onboarding currently runs through a three-minute pre-assessment and a waitlist during the closed beta, and no card is required to start.

- **Ingestion from meetings, documents and tools:** Meetings, documents and the tools a team already uses are ingested continuously, so the clone learns from the same material the team works with. A Transcript feature records and transcribes meetings.
- **An ontology of people, clients and decisions:** Everything is turned into a named thing — people, clients, projects, decisions and rules — including the decisions that were considered and rejected, which usually carry the most context.
- **A decision graph with version history:** The knowledge graph stores the latest decision on each subject along with whatever it superseded, so answers reflect current policy rather than stale documents.
- **Agents that consult the graph first:** The 'yokai' agents check the graph before answering, and are reachable inside Hakutaku chat, through the Agent Builder, and from Claude or ChatGPT via MCP.
- **Learns from how the team actually asks:** The clone improves from usage — from the agents you assemble and from the way your team phrases requests to it over time.

**Strengths:** Targets a concrete, high-value problem: removing the founder as the decision bottleneck; Decision graph keeps version history, so answers reflect the latest decision rather than stale docs; Works inside tools teams already use — Claude and ChatGPT via MCP, plus its own chat and Agent Builder; Clearly documented non-goals, which helps set expectations before adoption

**Limitations:** Currently in closed beta with a waitlist, so immediate self-serve access is not guaranteed; Published pricing is in Brazilian reais and the site is primarily in Brazilian Portuguese, which limits clarity for non-Brazilian buyers; The founder-clone concept depends on sustained ingestion of meetings and documents, so value accrues only after consistent usage; Enterprise needs such as bespoke integrations or on-premises deployment require contacting the team and are quote-based

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

## Frequently Asked Questions

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

Glean has 3,301,875 monthly visits, while Hakutaku has 0. 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%; Hakutaku has 0%.

### 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. Hakutaku: Contact for Pricing. Hakutaku publishes a single plan at R$200 per month. Companies requiring custom integration, a bespoke agent or an on-premises deployment are invited to contact the team for pricing, so larger deals are quote-based. Onboarding currently runs through a three-minute pre-assessment and a waitlist during the closed beta, and no card is required to start.

## 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 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Deploys enterprise conversational assistants and automated workflows, but lacks Glean's unified organization-wide knowledge graph search. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 6 | [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | -1.8% | Free Trial, Paid, Contact for Pricing | Creates permission-aware context graphs and routes tasks across enterprise tools, but has a smaller connector library than Glean. | [.md](https://openaitools.app/tool/coworker-ai.md) |
| 7 | [Sana](https://openaitools.app/tool/sana-labs) | 109,714 | -25.5% | Paid, Contact for Pricing | Combines enterprise search, AI agents, and corporate learning, but is less specialized for pure universal workplace search than Glean. | [.md](https://openaitools.app/tool/sana-labs.md) |
| 8 | [GoSearch](https://openaitools.app/tool/gosearch) | 55,390 | +1.4% | Freemium | Connects workplace apps for semantic enterprise search and custom agents, but lacks Glean's extensive out-of-the-box connector ecosystem. | [.md](https://openaitools.app/tool/gosearch.md) |
| 9 | [Allganize](https://openaitools.app/tool/allganize-ai) | 38,867 | +49.7% | Contact for Pricing | Enterprise AI coworker and no-code agent platform with zero-hallucination document grounding | [.md](https://openaitools.app/tool/allganize-ai.md) |
| 10 | [Elium](https://openaitools.app/tool/elium-com) | 24,058 | -4.9% | Free Trial, Paid, Contact for Pricing | Governed knowledge management for your people and your AI agents | [.md](https://openaitools.app/tool/elium-com.md) |

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

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