AI systems for commerce, distribution and operations
Most AI projects stop at a demo. Ours end up in the working day, wired into the systems you already run, with your people approving anything that matters.
Your own system
HELYOS technology, set up under your name and on your rules. We build it and we run it.
HELYOS
Custom Intelligence for commerce, distribution and operations. HELYOS owns the product. We handle it in German-speaking markets.
ROVE
Market intelligence for expansion decisions. Rove Global Limited owns the product. We bring it to German-speaking markets.
01What we do
The engine is HELYOS, already proven in commerce and distribution. Everything above it is yours: your data, your rules, your thresholds, your name on the interface, on your own domain. We do the setup, the connections and the day-to-day operation. Your people see one system that belongs to the company, not a tool someone bought in.
A finished platform beats a new build more often than people expect. Where HELYOS fits, we handle the rollout, the adaptation and the day-to-day in German-speaking markets.
Before you commit to a market, someone will ask you why. ROVE gives you the answer with the numbers behind it, and we turn that into a plan your company can carry.
02Why most of it fails
You have access to the same models as the largest company in your industry. What separates the two of you is not the model. It is what the model knows about your business.
of organisations report using AI. Most of it is a chat window somebody opens, describes a situation to, and closes again. The adoption is there. The embedding is not.
of the recommendations a model gave across 100,000 business situations came down to two sentences: win new customers, raise revenue per product.
simulated days with a million dollars of capital. Most models ran the business into insolvency. A simple set of rules beat almost all of them.
separates the leading American model from the leading Chinese one. Whatever advantage you are looking for, it is not in that gap.
Sources: Stanford HAI AI Index 2026 for adoption and model gap · study across 100,000 business situations, Udi Menkes, Intuit · Princeton simulation. None of these figures are ours, and none come from our own client data. We publish them because they can be checked.
A fluent answer built on what the internet knows about business will sound right and still be wrong. That is why we start with your margins, your exceptions and your thresholds, and why every recommendation carries a path back to the data it came from.
03Use cases
These four come up again and again. Pick the one closest to your situation and it goes straight into the form.
Channels are checked manually, the corrections land late, and the margin loss only shows up at month end.
For e-commerce leads running a shop plus two or three marketplaces
Customers, quotes, orders and availability sit in separate systems, so nobody has the whole picture at the moment they need it.
For managing directors and sales leads in B2B wholesale
The work that follows a rule gets done by hand, and the case that genuinely needs judgement surfaces too late.
For COOs and operations managers with more manual process than they would like
Go. All three hold. Enter in the planned order.
The method, not a market. Your numbers replace these switches.
Demand, competition and channel structure are estimated from a handful of conversations and a spreadsheet.
For founders and MDs with a new market on the table
04How we work
We look at what already exists: shop, ERP, CRM, spreadsheets, inboxes. Skip this and every system after it is a guess.
Your margins, your exceptions, your approval thresholds, and the cases where your company decides differently from the textbook.
All that data turns into a short ranked list. It names the next sensible move and why it comes before the others. Reports you already have enough of.
Anything that follows a rule simply runs. Anything unusual goes to one of your people with the reasoning attached, and the trail stays readable months later.
Nothing is finished at handover. We record what the system suggested and what happened next, and that record makes the following suggestion better.
Nobody takes responsibility for a system they cannot explain.
Approvals, exceptions and manual overrides stay with your people. Months later you can still show who decided what, and why.
Your data stays yours. It is held in your environment and exportable at any time. And after six months something exists that did not exist before: the record of what your own business decided and what followed. It shows what happened when you discounted in March. What the internet thinks about discounts is not in it.
05Work
We have systems running in commerce and operations right now. They are not on this page yet, because the clients involved have not approved their names in writing, and we will not publish a result figure without the measurement definition, the period and the source behind it.
It makes for a thin reference page. It also means that when a number does appear here, you can check it. On a call we walk you through what is running, in detail.
06First call
You describe a real situation, which takes about two minutes. We read it before we talk, and on the call we tell you which part of it is solvable, which part is not, and what a first step would cost. If it is not something we should take on, we say so and point you somewhere better.
Press c anywhere on the page to jump straight here.
Read how a project runs, before you talk to anyone.
Would rather just talk? Pick a time straight away. The written case helps us prepare, it is not a condition.
Pick the area closest to your case.
Pick an area to continue.
A few sentences is enough. Specific helps more than complete.
Describe the case in at least one sentence.
Optional, but it lets us prepare properly.
You can pick a time right after sending. No automated sequence either way.
Please add your name, company, a valid work email and the consent tick.
The enquiry could not be sent. Please write to francis@ainulo.com instead.
No sales sequence. You pick the time, or we reply within one working day.
Your case in — is with us. Pick a time now and we will have read it before we talk.
Questions
No. HELYOS is the brand and product of HELYOS, and ROVE belongs to Rove Global Limited. We look after both across Germany, Austria and Switzerland, from the first conversation through rollout and day-to-day operation. When we build a system under your name, it runs on licensed HELYOS technology. Your data, your configuration and your rules stay yours, the underlying platform stays with HELYOS. We say this on the website so that nobody hears it for the first time in a contract.
No. The systems prepare work and carry out what has been approved. Approvals, exceptions and manual overrides stay with your people, and you can always retrace how a recommendation came about.
The setup is a fixed price, quoted after the working sessions and never billed by the hour. Operation and further development run on a monthly fee, agreed together with it, cancellable monthly. Everything up to the offer, including the call and the project plan, is free. Most of what we earn comes from a system that is being used, so we lose money when it goes quiet. That is deliberate. The full picture is on the project page.
In your environment, exportable at any time, and never used as training material by us or anyone else. Access is limited to named people and logged. The full picture, including what happens at the end of a contract, is on the project page.
Because what you are buying is not only the platform. It is the setup on your data, the connection to the systems you already run, the German-language rollout with your people, the GDPR paperwork, and somebody in your own time zone who picks up when something breaks at half past four. HELYOS builds the engine. We put it in your house and keep it running.
If what you want is a chatbot, or if the data behind the decision does not exist anywhere yet, this is not the right call. The same goes for work where nobody inside the company owns the process we would be changing. We would rather say that in the first ten minutes than in month three.
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