Your best expertise lives in a few people’s heads. Your AI can’t reach it — so it guesses.
A client asks the question your senior expert would answer in seconds. That expert is in a meeting, on leave, or gone next year — and the generic AI you bolted onto your documents answers confidently and wrong. We build the alternative: a curated Knowledge Brain that answers the way your best person would, and shows the source for every word.
What trapped expertise quietly costs you
Expertise you can’t query is expertise you keep re-paying for. Three places an expert firm bleeds:
It leaves when people leave
The judgment that makes you worth hiring sits in a handful of heads. When they’re unavailable — or they resign — the answer quality drops, and there is nothing to hand a new hire but a folder of PDFs and a hope.
Generic AI answers confidently and wrong
A chatbot pointed at your documents will sound fluent and still hallucinate — because it pattern-matches text, it doesn’t know your rules. In a regulated or technical field, one confident wrong answer is not a glitch. It is liability.
No answer is traceable
When a partner, an auditor or a client asks "where does this come from", a generic model can’t tell you. If you can’t point to the source, you can’t stand behind the answer — so your experts keep answering by hand.
What a Knowledge Brain actually does
Not a document chatbot. A curated brain that reasons over your knowledge as structured, verified facts — and does real work:
It diagnoses, classifies and recommends
Given a real case — a symptom, a document, a customer situation — it works out what it is, sorts it into your categories, and recommends the next step, following your logic, not a language model’s guess.
Every answer cites its source
It answers from a knowledge graph of verified facts and their relationships, so it can always show which rule or record an answer came from. Traceable by design — the difference between a demo and something you can put in front of an auditor.
It doesn’t hallucinate on things it doesn’t know
When the graph has no basis for an answer, it says so and escalates — instead of inventing a plausible one. In a regulated field, knowing where the knowledge ends is the whole point.
Curation is the value — and the work
The brain is only as good as the knowledge we structure into it. Turning your experts’ judgment into verified, connected facts is the hard part, and it is exactly what makes the result trustworthy. This is the work generic tools skip — and why they stay generic.
We’ve built exactly this — Dr. Phyto
This is Domani’s specialty, not a slide. Here is a Knowledge Brain running in production:
For a client in the plant-health field, we built Plant Doctor: a curated Knowledge Brain that takes a real plant problem, diagnoses it, classifies the cause, and recommends a treatment — grounded in structured horticultural knowledge, with answers traceable to their source rather than guessed. Same architecture we’d build for a consultancy’s methodology, a technical firm’s specifications, or a regulated business’s rulebook. The domain changes; the discipline — curated facts, sourced answers, honest escalation — does not.
How a Knowledge Brain differs from a corporate AI brain →What this is — and what it is not
It is not generic RAG stapled onto a database, and it is not a chatbot on top of your documents — both sound smart and still guess. A Knowledge Brain is a curated knowledge graph plus an AI that reasons over it, where the curation of your expertise into verified facts is the value and the cost driver. That is why it is a premium build and not a weekend prototype: the honest, defensible answer is the expensive part, and it is the part worth paying for.
What it costs — and what it returns
A Knowledge Brain is an investment, not an app subscription. The foundation starts from €16,900, because the value is in curating your expertise into verified, connected facts — the depth of that curation, and the size of your knowledge, set the real figure. We scope it precisely with you before anything is committed; you see the price and the plan up front.
The return isn’t abstract. Count the hours your senior people spend answering the same questions, the cost of a wrong answer in your field, and the risk the day a key expert leaves. For most expert firms the brain pays for itself inside 6–12 months — and unlike a person, it doesn’t resign.
Who you’re working with
Domani AI is a US company — Domaniai LLC, registered in Albuquerque, New Mexico. You get a domestic entity, not an offshore contractor you can never reach.
You work directly with the two people who build it — Fabio and Annamaria — not an account manager and a ticket queue.
Fixed price, stated up front: from €4,900 to build, or from €279/month to rent and own after the term. Billed in USD or EUR. No "contact us for pricing".
Real systems already running — a 3-agent contract engine, a plant-diagnosis brain, live client sites — and a company you can verify on Wikidata and Crunchbase.
Frequently asked questions
How is this different from a chatbot on our documents?
A document chatbot retrieves text and lets a language model paraphrase it — fluent, but it can’t tell you which rule an answer follows and it will guess when the documents are thin. A Knowledge Brain reasons over your expertise as structured, verified facts, so it can diagnose and recommend by your logic and show the source for every answer. One sounds knowledgeable; the other is.
Isn’t this just RAG with extra steps?
No. RAG retrieves passages and hopes the model stitches them correctly. A curated knowledge graph encodes your facts and their relationships explicitly, so the AI follows your rules instead of pattern-matching text. The curation is the point — it’s what makes answers traceable and safe to stand behind in a regulated or technical field.
What does a knowledge graph consulting engagement cost?
The foundation starts from €16,900. It’s an investment sized to the depth of curation your knowledge needs, not a fixed sticker — most of the work is turning your experts’ judgment into verified, connected facts. We scope it precisely with you and state the price up front, before anything is committed.
How do you keep it from hallucinating?
It answers from verified facts in the graph, and when it has no basis for an answer it says so and escalates instead of inventing one. In a regulated field, honest escalation is a feature: the brain knows where its knowledge ends, so a confident wrong answer can’t reach your client.
Do you have proof this works?
Yes — Plant Doctor, a Knowledge Brain we built for a client in plant health, runs in production: it diagnoses a plant problem, classifies the cause and recommends a treatment from curated knowledge, with sourced answers. It’s the same architecture we’d apply to your methodology, specifications or rulebook.
See where your expertise is leaking today
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