Chiri Ontology creates an AI agent memory layer from your live business data. It preserves organizational knowledge in your tenant, and you own it.
Your team builds the rest of its AI on this foundation.
Off-the-shelf models know the public internet. They do not know your accounts, your policies, your process, or which system holds the truth on any given question. Without that context, an answer might sound confident, but it is still just a plausible guess, not a verified one.
Grounding is what separates AI you can act on from AI you have to double check line by line. The map, not the model, decides whether AI scales or stalls.
It captures your entities, their relationships, and the source of every fact. The system identifies each item. It also shows each connection and fact source.
Your teams carry this shared truth in spreadsheets, undocumented knowledge, and experienced staff. The map makes that knowledge explicit, structured, and current.
The people, accounts, products, and processes that make up your business.
How those entities connect to and depend on one another.
Where each fact came from, and when it was true.
Built from your own live data through provenance-tracked extraction, not billed human labor.
Lives in your tenant. You own the map, and you own every application grounded on it.
Chiri hosts and operates the map and never looks at your content. An MSSA governs that boundary.
Fine-tuning calls your ontology directly. That makes retrieval grounded and attributable back to source.
Maintained as a living asset that stays current as your business changes, not a one-time export.
More on how provenance and retrieval work together in the Ontology Field Guide.
Grounded in your real entities and relationships, output is answerable and trustworthy instead of plausible but unverifiable.
The map holds how your business works. That knowledge stays when a person leaves or a team changes. The map protects remaining team members. They do not reconstruct missing knowledge. They can focus on important work.
Every answer traces back to a source you can inspect and audit. That is what makes AI usable in a regulated or high-stakes context.
Models become cheaper and change over time. The map continues to gain value. Chiri builds your Ontology solution. You own it. Your data and processes improve it over time. Your unique advantage stays isolated. Chiri never pools or shares it.
Access, audit, and policy controls depend on an accurate business model. Grounded governance can identify each item and its permitted users. It does more than match a name to a rule.
Each agent uses the same map that you own. This shared map makes governance provable. It also links retrieval results to sources across every application.
Populated by provenance-tracked extraction from your live data, not billed human labor.
Retrieval uses the map and links each result to its source.
You own the map and everything built on it.
It lives in your tenant. Chiri hosts and operates, and never looks at your content. An MSSA governs that boundary.
Too big for a point tool. Too small for an enterprise platform build.
A real semantic layer, at economics built for the middle of the market.
Talk to us about what a governed, owned map of your business could look like for your environment. We'll show you where you stand today, and how Chiri would approach your data foundation.
Read the field
The Ontology Field Guide (No. 01).
This short guide explains an ontology and its construction. It also explains how an ontology affects AI growth.