Every trade produces data.
We turn it into one system.
Software that works for every industry is not the best for any. We start from the rules your own vertical runs on and build our software on normalised data — data you can act on, simply and precisely.
Every vertical is a trade with its own language: what carries the weight in one means nothing in another. So we build them one at a time, all the way down. 3 are running today on real clients, and the rest are designed, ready to start when a sector asks.
BIKE
Live
The bicycle trade. On the market since 2021, with more than 190,000 normalised products and a network of over 980 Italian retailers.
Find out more →EDUCATION
Live
Training programmes and the institutions that run them. The PRAXIS platform keeps the register of hours, attendance and marks.
HOME
Live
Residential buildings and the people who live in them. The STOÀ platform runs a separate instance for every building it serves.
LEDGER
In development
Financial and accounting data. The ABAX platform guides each entry and checks that it holds together. The product is called Ledgera.
Another 6 verticals, planned
These are brand architecture: the name, the colour and the scope are settled, but no platform is running yet.
OUTDOORS
Planned
Outdoor and mountain equipment. In structure it is the trade closest to cycling, which is what makes it the natural second.
SKI
Planned
Equipment for skiing and snowboarding. A seasonal trade, where the model year of a ski counts almost as much as the ski does.
GYM
Planned
Fitness and training equipment, from a dumbbell at home to the machines of a working gym. Wide catalogues that turn over fast.
MOTO
Planned
Motorcycles, parts and riding gear. A trade where the fitment data on its own decides whether a part can be sold at all.
AUTO
Planned
Car parts and accessories. The largest of the mobility verticals, and the one that leans hardest on getting fitment right.
FASHION
Planned
Clothing and accessories. Here size, colourway and season carry the weight that fitment data carries across the mobility trades.
STUDIO
Live
EurekaGO’s operational and development arm: it builds and maintains the platforms and the verticals. It is not a sector vertical and has no taxonomy of its own, because it inherits the master brand identity.
Why verticals, and not a horizontal platform
Every industry has its own idea of what a product is. In cycling, a frame size, a wheel standard and a groupset generation are load-bearing distinctions; in fashion they mean nothing, and something else is load-bearing instead. A taxonomy abstract enough to cover both ends up describing neither well enough to trade on.
So the architecture is two-tier: EurekaGO holds the infrastructure — the platforms, the pipeline, the method — and each vertical holds the ontology of its own trade. EurekaGO is present as the shared signature of every industrial vertical, while what is specific to each sector remains the preserve of that sector’s own supersystem.
It also means the second vertical is cheaper than the first, and the third cheaper again. What carries over is the method and the platforms, not the taxonomy — that has to be earned in each sector, by people who know it.
Takes the data every industry has been producing for decades and finally makes it work together — one vertical at a time.
What EurekaGO carries across every vertical
The platforms
Twelve platforms 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 →