Domain Knowledge Architecture

AI Built on Your Expertise

I map your method, framework, SOPs, workflows or business knowledge base into an ontology, the structure your AI reasons from, then build the product on it. So the AI follows your judgment instead of deciding on its own.

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Why It Matters

Why an AI Product Needs an Ontology

Without one, the AI fills every gap in its knowledge by deciding for itself. With one, it works from the concepts, rules and boundaries of your field.

What You Want to Avoid

An AI Left to Decide on Its Own

✕Your material uploaded to a chatbot that quotes it, then falls back to generic advice
✕A growing list of rules and exceptions to keep it on track
✕Answers that change every time, and confident guesses where your knowledge runs out
What You Get

Your Method, Structured So the AI Can Reason From It

✓Your concepts, definitions and boundaries mapped into an ontology of your field
✓An AI that decides which situation it's in, acts on it, and can say why
✓An asset you own outright, ready to drive more than one product
What I Build

Three Layers, From What Your Field Is to What Your Product Does

The Core

What your field is: the concepts, how they relate and where the field ends, defined so it stays true however the product changes.

Domain Knowledge

What is known about it: the research, evidence and experience your method stands on, organized so the AI can tell knowledge from opinion.

Application

What your product does with it: how this product uses the core and the knowledge to serve its users, and nothing it doesn't need.

Where It Fits

Ontology, Harness, Knowledge Graph: What Each One Does

If you're building AI seriously, you've met these terms. They answer different questions, and a product built on expertise needs the first one most.

Ontology

What the AI understands. The concepts of your field, their definitions, relations and boundaries. This is what I build.

Agent Harness

How the AI works. The loop, tools, memory and checks around the model. It decides when knowledge enters the prompt, not what.

Knowledge Graph

The specific records. The ontology says what a client is; the graph records this client. Structure first, then the facts.

Semantic Layer

A map of data you already have. Generated from existing databases so agents query them correctly. Descriptive, where yours is designed.

Amin Rabinia, Founder of Glissando AI

Amin Rabinia

Founder & AI Consultant

Who You'll Work With

You're hiring a builder, not a firm

I'm Amin, an AI scientist and builder. I lead every project personally, and the person who scopes your build is the one who writes the code. No hand-off to juniors, no account manager in the middle, no pitch decks full of buzzwords.

I take on a handful of projects at a time, on purpose. That's why you can see something working before you pay me anything, and why I'm still here after launch, when the questions turn into pricing, first customers, and what to build next. You own all of it either way.

How It Works

It Comes With the Build

Your knowledge is shaped by what the product must reason about, so I build the two together: the ontology first, the product on top.

1

See It Working First

A free working sample of the hardest part of your idea, on your own material, in about a week.

2

Map Your Knowledge

We work through your method together, and I structure it into an ontology of your field. Scoped and priced up front.

3

Build the Product on It

The AI reasons from your method from the first version. You own the product and the knowledge underneath it.

Common Questions

What Founders Ask

Isn't this the same as uploading my documents to an AI?
No. Uploading gives the AI your text, and it answers by finding passages that look related. It never learns how your concepts fit together or where they stop applying, so beyond those passages it decides for itself, and that is where hallucinations come from. An ontology gives it the structure of your method, so it reasons from your rules of the field and says so when something falls outside them.
Who owns the knowledge you build?
You do, all of it, along with the product and the code. It's built for you and never reused for anyone else.
Do I need to be technical?
No. You bring the method and the experience behind it. I ask the questions, structure the answers and build the product.
Can you build only the ontology, for an AI system my team runs?
I build it as the foundation of a product I build, because what the knowledge needs to cover depends on what the product must reason about. If your team already has the system, tell me about it and I'll say honestly whether that fits.

See Your Method Working as an AI Product

Tell me about your method, workflow or process. I'll build a working sample of the hardest part on your own material in about a week, so you can judge the result on something that runs.

Read: Why Your AI Needs an Ontology

Send Us a Message

I'll reply within one business day.

info@glissando.ai
+1 916 936 1544
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Start Your Free Demo

Answer 3 quick clicks and I'll build a real, working sample of your solution, not a slide deck or a sales call, so you can see exactly what you'd get before you pay anything. Usually ready within about a week. I personally review every submission and reply within a business day; I take on a handful of these at a time.

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No spam. If it's not a fit, I'll tell you honestly rather than ghost you.

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