Frequently asked questions
The questions we are actually asked, answered without hedging. If yours is not here, write to us — the team answers directly.
What does EurekaGO actually sell?
Integration. We are a system integrator between your company’s data and our own platforms: we unlock the value already latent in the data and the expertise a company has, rather than selling another tool to sit alongside the ones it already runs. The metaphor we use internally is the head coach, not the striker.
Is this an AI product?
AI is used where it earns its place — normalising messy supplier data, proposing matches against a catalogue, reading accounting documents. But the value is not the model, it is the agreement on what a product is. An AI that proposes into a taxonomy nobody agreed on just produces confident nonsense faster.
What is the difference between a vertical and a module?
A module is a platform — KOSMOS, EIDOS, AGORA and so on. A vertical is a sector with its own product ontology — 
BIKE, MOTO, FASHION — inside which the modules, or platforms, talk to one another on a shared ontology built by EurekaGO together with people who know that trade well.
How many verticals are actually running?
One. The company was founded in 2020; BIKE has been on the market since 2021, and LEDGER is at prototype stage. The other eight are brand architecture, and are shown as such on the verticals page. Two standalone modules already run independently at several clients outside the cycling trade, which is a different thing from a second vertical being live.
Do I have to adopt the whole suite?
No, but the answer depends on which module you want. Standalone modules — accounting, business intelligence, standalone commerce — have no dependency on the shared product model and can start on their own. Pipeline modules need the vertical’s model behind them, so they are adopted inside a vertical rather than in isolation.
Who owns the data that goes in?
Whoever generated it keeps control of it. Every record carries its source, and governance rights stay with the company that created it. A shared data economy only works if that is structural rather than a commercial promise, so it is written into the core of the system — precisely to guarantee governance to whoever contributes the data.
Where should a conversation start?
With the problem, not the module. Tell us what data you have, where it stops being useful, and who has to retype it — that is usually enough to say whether this is a fit, and to say so honestly if it is not.
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.
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