verticals — the first, The data was
always there.
Every industry has been producing data for decades — in price lists, in catalogues, in the heads of the people who know the trade. What has been missing is not more data, and not another AI tool. It is the integration that makes it work together.
The head coach, not the striker.
We do not sell a smarter tool to add to the eleven you already run. We are the layer that makes the ones you have play as a team — which is a different job, and the one nobody was doing.
The value is already in your systems
Your ERP, your price lists, your catalogue, the expertise of the people who have been doing this for twenty years. None of it needs replacing. It needs connecting, and it needs to agree on what things are called.
See the platforms →One definition, read by every module
Marketplace, e-commerce, B2B network, warehouse and content all read the same normalised identity instead of each keeping a private copy. Inside the pipeline, nothing exists until it exists in the model.
See the platforms →Depth in one sector before breadth across many
A universal product language that works everywhere and nowhere is worth nothing. We build the ontology of one trade until it genuinely holds, then carry the method — not the taxonomy — to the next.
See the platforms →What EurekaGO carries across every vertical
A product language that claims to fit every industry fits none of them. The architecture is designed for eight sectors; exactly one of them is live, and that is the point rather than an apology.
The modules
Ten platform modules that do not have to be rebuilt for a new sector — only configured against its model.
The method
How raw supplier data becomes a normalised, agreed identity, and how corrections made by humans are learned rather than repeated.
The endorsement
A vertical carries its own sector-native name and colour, with EurekaGO as the signature that says what is behind it.
The data economy
Provenance stays with whoever generated a record, in every vertical, because the rule is structural rather than commercial.
Sitting on decades of data
that will not talk to itself?
That is the problem we work on. Tell us what you have and what you want to get out of it: we will tell you honestly whether it makes sense — and you will probably be surprised, quite soon, by how much a well-built instrument can surface from data you have been sitting on for years. You will see and measure patterns you would never have guessed were there.
Write to us →