Ontoxiom · Ontology Building Engine
Turn the language of your business into a model AI can execute.
Describe your business world as objects, relations and actions. Start from your documentation: the engine proposes a model, your team confirms it, and it ships as a version instead of being hard-coded.
sales-order-api.pdf
cust_no is unique per customer
Orders link customers and parts
Over-limit credit needs approval
Tables are not the business.
In your systems, Customer, Order and SKU are just tables and columns. What they mean, how they relate and what may happen under which conditions lives in people's heads and documents. The Ontology Building Engine turns that tacit knowledge into an asset your company owns and evolves.
LawEssence
What the Ontology Building Engine does
Objects · Relations · Actions
Three primitives describe everything: what can exist, how things connect and what may happen. The engine assumes no business nouns of its own.
Start from documents
Hand over ERP / CRM documentation and process notes. The engine drafts objects, relations and identity rules; nothing is built until the business confirms.
People and agents co-author
Manual edits and agent-generated changes land on the same draft, so every change can be reviewed and compared.
Versioned publishing
Drafts are separate from releases. Every release is a traceable version, and breaking changes are handled explicitly, never by silently rewriting data.
Rules as constraints
Types, required fields, uniqueness and enumerations apply to every write. No path bypasses validation.
Semantics AI can read
Business descriptions written for objects and actions are served straight to agents, so the model knows what each concept means in your company.
From documents to a model
Understand
Gather system docs, business processes and key questions.
Propose
The engine and FDEs draft objects, relations and actions.
Confirm
The business reviews, revises and signs off.
Publish
Release a traceable version that starts carrying data.
What you get
Turn your business into a world AI can understand.
Bring one concrete business problem. We'll tell you honestly whether it makes a good first use case.