Your data already knows where the money is. We make it visible.

Yes — that's the normal case, not the exception. We connect modern systems via APIs, older ones via database access or automated exports; even hand-maintained Excel files can be ingested. The important part: your systems stay exactly as they are. We don't replace anything or force new software on anyone — the pipeline picks the data up wherever it's created today.

Hosting is in the EU, GDPR-compliant, on accounts owned by your company. Access rights control who sees what: sales sees their customers, management sees everything. You get a full breakdown of every service in use and its running costs at any time — there's no lock-in only we can undo. And personal data is handled by the same rules as your accounting: as little access as possible, as much as necessary.

Especially then. No company we know has perfect data — duplicates, empty fields, and creative Excel formats come with the territory. The data audit in week one shows what your data can already answer and where the gaps are. We start with the analyses that are possible now, and quality grows from there: once numbers are visible and decisions depend on them, in our experience they start getting maintained properly all by themselves.

That's exactly why the project starts with a data audit: in the free Potential Analysis and the first two weeks, we look at your systems before we commit. You then receive a written scope, a fixed price, and a launch date — once you sign, that number doesn't move, no matter how many hours we put in. Anything extra later gets its own quote.

You do — 100%. The source code, the database, all credentials, and the hosting and service accounts run under your company's name. We keep running the system long after launch, but a complete handover with documentation is possible at any time: if you never hire us again, you're not missing a thing. Your data was always yours — that doesn't change.

For us, AI speeds up writing code — not making decisions. The data model, architecture, and reviews are handled by a human with nearly ten years of experience, and data projects get one extra check that matters more than any line of code: during the test phase, we reconcile every metric against figures you already trust — your monthly financials, for instance. Only when both match does the system go live.