The people who know the business decide what AI should understand.
Duodata turns the definitions your teams already use into meaning AI can apply — owned by the business, reviewed before it is used, and executed in your platform.
Detail by role
Schemas, mappings and native output.
Engineers observe the physical schema, connect business definitions to it, refine the model and deploy native semantic views — then maintain them as definitions and schemas change.
From your definition to your platform
From business meaning to platform execution
Defined by the business
Net revenue
= gross revenue − discounts − credits
- Owner
- Finance
- Used for
- Quarterly reporting
Duodata model
Your business meaning, ready for AI
One agreed definition with an owner, a time grain and the words people use to ask for it.
Choose your platform
Your platform executes the calculation. Pick one; you don't need both.
AI answer
Net revenue grew 5.4% from Q2 to Q3.
Definition used: net revenue = gross revenue − discounts − credits (owner: Finance).
Fictional example
Bring your use case
We start with one business question, the person who owns its meaning, the data behind it and the result you expect. A scoped, paid proof of concept puts that meaning to work in your platform.
- 01One business question
- 02One owner of the definition
- 03The data it depends on
- 04The result you expect
- Bring your use case