Hakutaku builds AI clones of founders and executives that capture their judgment and put it to work for their teams, so recurring decisions no longer wait on them.

How does Hakutaku differ from a normal chatbot?

It runs agents on a knowledge graph of how the company decides, so it can recall what was rejected and why, route decisions to the right person, and push back rather than simply agreeing.

How much does Hakutaku cost?

Founders can start from R$ 200 per month, with cost growing with the knowledge graph. Companies pay for the platform plus a forward-deployed engineer, billed separately.

Can Hakutaku run on-premise?

Yes. Companies can run Hakutaku on their own infrastructure so their context never leaves the building.

Does Hakutaku monitor employees?

No. Hakutaku states that it captures how decisions get made, not who is online, and is not an observability tool.

What is Hakutaku's monthly traffic and growth trend?

Hakutaku currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

Is Hakutaku free? What is its pricing model?

Hakutaku operates on a Contact for Pricing pricing model. Founders can use the platform from R$ 200 per month, with cost growing with the size of the knowledge graph. Companies pay for the platform plus a forward-deployed engineer, billed separately, to accelerate how the graph and agents learn the company. On-premise deployment is also available. Supported billing and checkout platforms include: not listed.

Hakutaku Review: AI Clones of Founders, Pricing & Features (2026)

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About Hakutaku

Judgment capture

Captures how a founder decides from meetings, voice notes and direct sessions.

Ontology of decisions

Models people, decisions, rules of thumb, context and rejected options into a structured ontology.

Knowledge graph

Stores judgment in a graph rather than a pile of embeddings, so a past “no” and its reasoning remain retrievable.

Agent harness

Agents query the graph before acting, so they know what was declined and who decides what.

Consent-based action

Anything leaving the company waits for a human yes; internal actions can be undone.

Per-company learning

Every action and correction feeds back into the graph, so a case corrected once is handled right the next time.

MCP access

ChatGPT and Claude can read the same graph through MCP.

On-premise option

Companies can run Hakutaku on their own infrastructure so context never leaves the building.

Hakutaku builds AI clones of founders and executives: their judgment, working for their teams, so recurring decisions stop waiting on them. The system ingests how a founder decides from meetings, voice notes and direct sessions, models that into an ontology of people, decisions, rules of thumb and rejected options, stores it in a knowledge graph, and runs agents on top of the graph. Unlike embedding-only retrieval, the graph can represent a past “no” and the reasoning behind it. Agents know what was already declined, route decisions above their remit to the right person with context attached, push back the way the founder would, and require human consent before anything leaves the company. The same graph is readable by ChatGPT and Claude through MCP.

High-Impact Use Cases for Hakutaku

Founders and C-level executives

Getting out of the decision bottleneck

The clone answers recurring questions and handles repeated decisions so the team stops waiting on the same few people.

Growing companies

Scaling decisions without adding headcount

Keep judgment consistent as the company grows, without hiring more people to relay the founder's context.

Teams using ChatGPT or Claude

Bringing company judgment into existing AI tools

Agents and assistants read the judgment graph through MCP alongside their existing workflows.

Organizations with strict data boundaries

Keeping context on-premise

Run Hakutaku on internal infrastructure so sensitive decision context never leaves the building.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Hakutaku	0	0%	—	Contact for Pricing	Current
1	ChatGPT	6.05B	+2.2%	73% direct	Freemium	vs ChatGPT
2	Google Gemini	2.64B	-0.1%	62% direct	Freemium	vs Google Gemini
3	Claude	1.25B	+23.8%	72% direct	Freemium	vs Claude
4	DeepSeek	372.76M	+4.3%	78% direct	Freemium	vs DeepSeek
5	OpenAI Platform	234.68M	-9.6%	45% direct	Paid	vs OpenAI Platform
6	Grok	203.85M	-0.8%	66% direct	Freemium	vs Grok

Hakutaku

Why Choose Hakutaku

Watchouts & Trade-offs

Traffic Acquisition Breakdown