
Multiplayer AI where people and agents work side by side
Multiplayer AI where people and agents work side by side
Your judgment, answering the team when you can't

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Hakutaku (hakutaku.co) is an AI platform indexed under AI Knowledge Management generating 0 monthly visits with a month-over-month traffic delta of +0 (0%). Its primary geographic market is Global (— traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Dust (547.22K visits/mo), Iris.ai (22.01K visits/mo), Falconer (11.27K visits/mo).
Incredible idea to clone executive judgment instead of generic RAG search.
Saves endless Slack back-and-forth.
The retro aesthetic is a nice bonus.
MCP integration works like a charm.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
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.
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.
The knowledge graph stores the latest decision on each subject along with whatever it superseded, so answers reflect current policy rather than stale documents.
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.
The clone improves from usage — from the agents you assemble and from the way your team phrases requests to it over time.
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.
Stop fielding the same questions all day — the clone answers what you would have answered, based on your own recorded decisions and reasoning.
Meetings get transcribed, summarised and linked to the decisions taken, so nothing that mattered depends on someone's memory of a two-hour call.
Stand up groups of yokais, each carrying the brain of a different team member, so each department can answer questions within its own domain.
Query the company's decision graph directly from Claude or ChatGPT over MCP, without switching to a separate knowledge tool.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Hakutaku | 0 | 0% | — | Contact for Pricing | Current |
| 1 | Dust | 547.22K | +1.8% | 83% direct | Contact for Pricing | vs Dust |
| 2 | Iris.ai | 22.01K | -27.9% | 40% direct | Contact for Pricing | vs Iris.ai |
| 3 | Falconer | 11.27K | -12.1% | 40% direct | Freemium, Contact for Pricing | vs Falconer |
| 4 | Squirro | 12.75K | +12.1% | 40% direct | Contact for Pricing | vs Squirro |
| 5 | Glean | 3.3M | +0.1% | 80% direct | Contact for Pricing | vs Glean |
| 6 | Elium | 24.06K | -4.9% | 64% direct | Free Trial, Paid, Contact for Pricing | vs Elium |

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