AkibaPOS Graph Engineering
The conversational analytics layer over AkibaPOS — what happened, who did it and what it cost, asked in plain language.
How it works
The problem, and the shape of the answer.
Arithmetic, not an impression of the numbers
The inventory ledger becomes a canonical event log, and deterministic variance arithmetic runs over it. An operator gets an answer with the path that produced it — a figure that can be re-run and checked, rather than a model’s summary of a spreadsheet.
The recipe chain as a graph
Recipes, sub-recipes, ingredients and suppliers project into a graph, so a question about one dish can be traced back through what it is made of to who supplied it and what that cost.
The graph never crosses the seam
A tenant is resolved from a secret, never from anything in the request. The connector rejects a ledger that violates an invariant, and only paths cross the boundary — never the graph itself.
A service that turns the inventory ledger into a canonical event log, runs deterministic variance arithmetic over it, and projects the recipe chain and supplier web into a graph. An operator asks what went wrong last week and gets an answer with the path that produced it — not a language model’s impression of the numbers, but arithmetic that can be re-run and checked.
It refuses rather than guesses: the connector rejects a ledger that violates an invariant, and the graph never crosses the seam — only the paths do. Every tenant is resolved from a secret, never from a request.
See it running on your own operation.
Tell us how your business runs today and we will walk you through AkibaPOS Graph Engineering on your own numbers, not a slide deck.
Request a demo