We build where correctness is the product.
Streatix is a software house. We build the systems that move money and prove identity, the ones where a bug is a regulator's phone call and a breach is a notification rather than a quiet postmortem. This page is what we are, what we've shipped, and what we won't take on.
A software house, not a feature factory.
Most shops are organised to produce screens quickly. We are organised around the systems where speed alone gets you a lawsuit. Tokenized assets, trading desks, payments, digital identity: software that has to reconcile and has to hold when a regulator or an attacker leans on it.
That is the focus, and we don't drift from it. We would rather be the team that has built your exact kind of system before than the team that will take anything and learn on your budget.
We have built this before.
Before Streatix was a name, it was the work. We have taken a real-estate tokenization platform to $216M across 29 countries, with ownership records that survive an audit in every jurisdiction at once. We have built a precious-metals trading desk from nothing to $46M in its first year, on KYC and AML controls where one missed check freezes a bank account.
We have built identity and data-residency systems against GDPR, UAE PDPL, and the EU AI Act, the kind where storing a customer's passport is a legal posture, not a database row. The credibility here is the track record, not a sales deck.
Fixed scope, your repo, the unhappy path written down.
Every engagement is scoped on a call and priced as a fixed deliverable. We work in your repository, under your review, and nothing ships until you merge it yourself. No hourly meter, no open-ended discovery phase to pad the bill.
What separates the code is the unhappy path: the negative tests, the rate limits, the "what if an attacker does this" checks that rushed code and AI generators skip. We write those first, because in this domain they are the product, not an afterthought.
Builders make the best auditors.
We read other people's code the way we read our own: assuming it will be leaned on, looking for the place it gives. Because we have shipped the systems that get audited, we know where they break, including the patterns AI tools leave wrong by default.
That audit practice is a service in its own right. The tiers and pricing live here.
What we don't do.
We are not a generalist agency. Consumer social, games, machine-learning research, brochure sites: not us. We turn that work down on the call instead of taking it and learning as we go.
And if a project isn't ready to build, we'll say so, and sometimes point you somewhere better suited than us.