The backbone

GENIUX

AI brain · Ontology · Semantic layer

Most AI stalls for the same reason: the model is fine, but nothing has ever written down how the company works. GENIUX is that missing layer — built in-house, sitting between your systems and your teams, holding what your data means rather than only what it recorded. Every product on this page is an expression of it.

An ontology, not a databaseIt holds the relationships — which sites compare, which cost belongs to which margin, who may approve what. That is the part a model can’t infer for you.
Native, not a wrapperBuilt by us, not assembled from someone else’s APIs. No dependency on another company’s model roadmap, pricing or deprecation schedule.
Every resolved decision makes the next one cheaperAn input can resolve down dozens of paths, and the brain takes the cheapest one that is good enough rather than sending everything to the largest model available. A question already answered isn’t re-reasoned — or re-billed — from scratch. The second year costs less than the first.
Governed at every layerWho is allowed to know, to decide and to act is enforced separately. Every answer carries its trace, so a decision can be explained afterwards — not just made.
Goes in
Data sources
Logic sources
Systems of action
GENIUX AI BRAINOntology · Semantic layer
Comes out
Analytics + workflows
Agents + automations
Products + SDKs
Two ways to get a product

Off the shelf, or built for you.

Both run on the same brain, so they share your data and your definitions from day one.

Off the shelf

Products already built

Six of them, for the decisions we meet most often across QSR, retail, hotels, logistics and consumer goods. Each one is a way into the same brain, so they share your data and your definitions from day one.

Or built for you

A product of your own

When the decision that costs you most isn’t one of the six, we build it — an industry product or one specific to your operation — on the foundation that is already there. Not a new platform, a new integration project and another year.

Industry buildsCustom decisionsAgents & SDKs
Coverage

One stack. Many verticals.

Nothing in the stack is restaurant software. If your business runs across many sites, many SKUs and many shifts, the vocabulary changes but the decisions don’t.

ProductQSR & restaurantsRetailConsumer goodsLogisticsHotelsMedia
SYNK
SPOT-ON
VISAI
SPENDIX
MARGYN
ARKYV
Who it’s for

It fits at any AI maturity level.

What changes from one company to the next isn’t what the brain does. It’s the reason you’d want it.

Where you areWhat’s in the wayWhat Tanzo AI does about it
Starting with AIYou don’t want disconnected copilots and one-off experiments that go nowhere.Start with one high-value decision, and build the company brain underneath it as you go.
Running pilots & early agentsResults are inconsistent, because every agent has a different idea of the context, the data and the rules.Give the agents one shared business model, one memory, one set of controls and one evidence layer.
Mid digital transformationData, process and knowledge projects are all running, but separately — and none of them meet.Connect those efforts into an operational semantic layer, without replacing the stack you just paid for.
Scaling AI across teamsGovernance, permissions, traceability and reuse have stopped being nice-to-haves and started being blockers.Make every AI action explainable, controlled, auditable and reusable across workflows.
And what isn’t on the list

The next one is yours.

These six are the decisions we have met most often. They are not the limit. Because the brain holds how your business works rather than how a product category works, the seventh product is a build on the same foundation. If the decision that costs you most isn’t on this page, that is the conversation to have.