# Hakutaku

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, Hakutaku(hakutaku.co)은(는) AI 지식 관리에 색인된 AI 플랫폼으로 월 0회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +0(0%)입니다. 주요 지리적 시장은 글로벌(트래픽 점유율 —)이며, 가격 문의 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Dust (월 54.72만회 방문), Iris.ai (월 2.2만회 방문), Falconer (월 1.13만회 방문) 등이 있습니다.

Hakutaku builds an AI clone of a founder's or executive's judgment so the team can get answers without waiting on that one person. It ingests meetings, documents and the tools a company already uses, models everything as named entities — people, clients, projects, decisions and rules — and stores the most recent decision on each topic in a knowledge graph. Agents the company calls 'yokais' consult that graph before answering, and work through Hakutaku's own chat, its Agent Builder, or Claude and ChatGPT via MCP.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | Hakutaku |
| 핸들 | hakutaku |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 공식 도메인 | hakutaku.co |
| 웹사이트 URL | https://hakutaku.co |
| 카테고리 | AI 지식 관리, AI 지식 베이스, AI 검색 엔진, AI 생산성 도구, AI 챗봇, Large Language Models (LLMs) |
| 가격 모델 | 가격 문의 |
| 월간 방문 수 | 0 |
| 전월 대비 트래픽 변화 | 0 |
| 전월 대비 성장률 | 0% |
| 주요 시장 | 글로벌 |
| 시장 점유율 | — |
| 직접 방문 | 0 |
| 자연 검색 방문 | 0 |
| 소셜 방문 | 0 |
| 추천 방문 | 0 |
| 이메일 방문 | 0 |
| 리뷰 점수 | 4.5 |
| 저장 수 | 0 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 |  |
| 속성 | 기능: 웹사이트; 가격: 가격 문의 |
| 태그 | 지식 관리, 인공지능, AI, 비즈니스 생산성, 협업, RAG(검색 증강 생성), 검색 증강 생성(RAG), 지식 베이스, 검색, 정보 검색, 엔터프라이즈 검색, 시맨틱 검색 |

## 개요

Hakutaku builds an AI clone of a founder's or executive's judgment so the team can get answers without waiting on that one person. It ingests meetings, documents and the tools a company already uses, models everything as named entities — people, clients, projects, decisions and rules — and stores the most recent decision on each topic in a knowledge graph. Agents the company calls 'yokais' consult that graph before answering, and work through Hakutaku's own chat, its Agent Builder, or Claude and ChatGPT via MCP.

## 가격 및 요금제

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.

## 주요 기능 및 역량

- **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.

## 주요 활용 사례

- **Taking the founder out of the critical path (Startup founder):** Stop fielding the same questions all day — the clone answers what you would have answered, based on your own recorded decisions and reasoning.
- **Turning meetings into durable decisions (Operations or project manager):** Meetings get transcribed, summarised and linked to the decisions taken, so nothing that mattered depends on someone's memory of a two-hour call.
- **Department-level decision agents (Department lead):** Stand up groups of yokais, each carrying the brain of a different team member, so each department can answer questions within its own domain.
- **Answers inside the assistant you already use (Team member using ChatGPT or Claude):** Query the company's decision graph directly from Claude or ChatGPT over MCP, without switching to a separate knowledge tool.

## 강점

- 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
- Published monthly price instead of hiding everything behind a sales call

## 한계

- 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

## 자주 묻는 질문

### What does Hakutaku actually do?
Hakutaku creates an AI clone of a founder's or executive's judgment. It learns how that person decides from meetings, documents and existing tools, keeps the latest decision on each topic in a knowledge graph, and answers the team in their place through Hakutaku chat, its Agent Builder, or Claude and ChatGPT over MCP.

### How much does it cost?
The published plan is R$200 per month. Companies that need custom integration, a dedicated agent or an on-premises deployment are asked to contact the team for a tailored arrangement.

### Do I need a technical team to use it?
No. Using it as a founder does not require a technical team. For larger organisations Hakutaku assigns someone from their side to configure it together with you.

### What happens if the clone gets something wrong?
Yes, and that is treated as part of the design. You correct the clone when it gets something wrong, and it learns from that correction — the site compares the behaviour to that of an intern, except this one remembers.

### How do I get access today?
Hakutaku is in closed beta, so the main route in is a three-minute pre-assessment, with a waitlist available. No card is required to start the pre-assessment.

### Hakutaku의 월간 트래픽과 성장 추세는 어떠한가요?
Hakutaku은(는) 현재 월 0회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +0(성장률 0%)입니다. 주요 유입 시장은 글로벌(점유율 —)이며, 여기에는 월 직접 방문 0회와 월 자연 검색 방문 0회가 포함됩니다.

### Hakutaku은(는) 무료인가요? 가격 모델은 무엇인가요?
Hakutaku은(는) 가격 문의 가격 모델로 운영됩니다. 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. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

### 2026년 최고의 Hakutaku 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 Hakutaku의 상위 5개 대안은 다음과 같습니다: 1. Dust (월 54.72만회 방문); 2. Iris.ai (월 2.2만회 방문); 3. Falconer (월 1.13만회 방문); 4. Squirro (월 1.28만회 방문); 5. Glean (월 330.19만회 방문).

### Hakutaku은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
Hakutaku은(는) AI 지식 관리, AI 지식 베이스, AI 검색 엔진, AI 생산성 도구으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 지식 관리, 인공지능, AI, 비즈니스 생산성, 협업, RAG(검색 증강 생성) 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [Dust](https://openaitools.app/ko/tool/dust) | 547,217 | 가격 문의 | [비교](https://openaitools.app/ko/compare/dust-vs-hakutaku) |
| [Iris.ai](https://openaitools.app/ko/tool/iris-ai) | 22,006 | 가격 문의 | [비교](https://openaitools.app/ko/compare/hakutaku-vs-iris-ai) |
| [Falconer](https://openaitools.app/ko/tool/falconer) | 11,266 | 무료+유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/falconer-vs-hakutaku) |
| [Squirro](https://openaitools.app/ko/tool/squirro-com) | 12,752 | 가격 문의 | [비교](https://openaitools.app/ko/compare/hakutaku-vs-squirro-com) |
| [Glean](https://openaitools.app/ko/tool/glean) | 3,301,875 | 가격 문의 | [비교](https://openaitools.app/ko/compare/glean-vs-hakutaku) |
| [Elium](https://openaitools.app/ko/tool/elium-com) | 24,058 | 무료 체험, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/elium-com-vs-hakutaku) |
| [Tettra](https://openaitools.app/ko/tool/tettra-co) | 12,542 | 무료 체험, 유료 | [비교](https://openaitools.app/ko/compare/hakutaku-vs-tettra-co) |
| [Allganize](https://openaitools.app/ko/tool/allganize-ai) | 38,867 | 가격 문의 | [비교](https://openaitools.app/ko/compare/allganize-ai-vs-hakutaku) |
| [Cluing](https://openaitools.app/ko/tool/cluing) | 11,227 | 무료+유료 | [비교](https://openaitools.app/ko/compare/cluing-vs-hakutaku) |
| [ContextClue](https://openaitools.app/ko/tool/contextclue) | 1,643 | 가격 문의 | [비교](https://openaitools.app/ko/compare/contextclue-vs-hakutaku) |
| [Hyper: 스스로 움직이는 회사 두뇌](https://openaitools.app/ko/tool/hyper-self-driving-company-brain) | 9,642 | 무료+유료 | [비교](https://openaitools.app/ko/compare/hakutaku-vs-hyper-self-driving-company-brain) |
| [Dawiso](https://openaitools.app/ko/tool/dawiso) | 16,820 | 가격 문의 | [비교](https://openaitools.app/ko/compare/dawiso-vs-hakutaku) |

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출처: https://openaitools.app/ko/tool/hakutaku