The default is broken.
Most agencies bill on hope. They write decks, run discovery, scope phases, and deliver a slide that says "recommended approach." The work — the actual systems that grow a business — is left for someone else to build, or quietly subcontracted to a team you'll never meet.
Most dev shops bill on hours. They take a brief, build to spec, ship, invoice. Whether the thing they shipped actually changes the business is somebody else's problem. The agency that briefed it is long gone.
Most AI shops bill on novelty. They wire a chatbot to your data, paste in a prompt, and call it production. Six weeks in, the thing breaks on an edge case nobody anticipated because nobody ran it on real traffic.
Three players, three half-jobs, one client paying for all of it. That is the default.
The principle: MIRROR.
We do not sell anything we have not run on ourselves first.
Every workflow, every AI agent, every paid-media tactic, every CRM stitch — it goes into production on our own businesses before it is offered to a client. attnex, photovic, movelab, svoivpn. Four live products that double as our test environment.
This is slow. It costs us pipeline. A faster studio would skip it. We do not, because the alternative is the default — and we have read those scopes.
The MIRROR Principle is not a marketing line. It is a constraint that forces us to ship things that survive. If a Make webhook misfires at 2am on our data, we catch it before it ever touches yours.
The category: growth engineering.
Marketing, software and AI are not three departments. They are one discipline — acquisition, product, automation — that succeeds or fails together. Treating them as separate purchases is why most companies end up with three contractors who blame each other when revenue stalls.
We treat the work as one engineering surface. The same studio that ships your AI lead scoring also wires it to the paid-media campaign that fills the top of the funnel and the software dashboard your team reads on Monday morning. One team, one accountability, one timeline.
We call this growth engineering. The name matters because the work matters: it is engineering, not consulting. It ships, runs, and gets measured. It does not live in a deck.
What we will and will not ship.
We will not deploy integrations we have not pressure-tested. New tool, new API, new model — fine. We just break it on our own data before it touches yours. Sometimes that takes a week. We will tell you up front how long.
We will not ship work without a fixed scope and a fixed price. Open-ended retainers reward the wrong side of the table.
We will not take on clients we cannot help. If your problem is outside our scope — manufacturing, legal, training, on-site work — we will tell you in the first call, and we will tell you who to call instead.
We will not pretend AI is magic. We will not pretend marketing is science. We will not pretend software is cheap. We will tell you what it takes, in writing, before you sign.
Three things we openly believe.
Most marketing problems are software problems in disguise. The CRM doesn't talk to the ad platform, so the team retypes. The intake form doesn't score, so the SDR overwhelms. Hire one team that ships both, and the symptoms disappear.
European Mittelstand has more AI leverage than SV startups. Established businesses with messy ops, real revenue, and almost no AI in production stand to gain more from one well-scoped automation than a seed-stage SaaS gains from a third LLM toggle.
Speed of iteration beats sophistication of solution. A 70-percent solution shipped in three weeks compounds faster than a 95-percent one shipped in six months — because you actually learn from real data.
The invitation.
If you are running a business that needs marketing, software and AI to compound together — and you are tired of coordinating three vendors who do not talk — talk to us.
We take a small number of engagements each quarter. We ship in weeks, not quarters. We will tell you in 24 hours whether we are a fit.
Vienna, since 2019. Built quietly. Shipped publicly.