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Code is cheap now, software is still expensive.

Web applications and the systems around them — built with agents, on infrastructure we build and run. You leave with the code, the documentation, and no dependency on us continuing to exist.

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Twenty years of this, and one year of doing it differently

We've built software professionally for about twenty years — from single-page marketing sites to codebases with a thousand contributors. Most of that time was spent on the same problem from different angles: how do you build a system that stays workable after the people who built it have moved on.

That's the experience behind Artzi. It is not evidence that Artzi works. The runtime, the agent harness, and the toolchain are roughly a year old, and the honest thing to say is that they're new.

So here is exactly where this stands.

Current state

Where this actually stands

Read this before anything else on the page.

The system is new

The runtime, the harness and the toolchain are about a year old. They work — this site runs on them — but they haven't been through a hundred client projects yet.

Artzi is the first thing built on it

This site, the agent that answers you, and the library are the demonstration. We shipped them for ourselves, so we don't count them as client proof.

Early clients are design partners

You get high-touch access, competitive economics, and influence over what gets built. You accept that this is an R&D process and that things break.

How an engagement goes

Visible phases, so you can decide to continue at each one — and every phase has something to show.

We shape the problem.

What you actually need, what's possible, and where the line falls. This is the part most projects get wrong, so it gets real time.

We check it against the machinery.

What fits in the infrastructure we already have, and where it doesn't. Where custom work is needed, you hear it now, not later.

We agree the scope in writing.

Features, requirements, and what "done" means, before development starts.

We build — one focused block.

The heavy lifting, done in one concentrated block rather than smeared across a quarter.

You use it, we polish.

The rest of the month is iteration against real use, not against a specification document.

We take on few engagements at a time — low throughput, by design. What we're selecting for is where our capabilities have the highest impact, not the calendar. If meaningful value can't land inside that first month, we'll say so before we start rather than after.

Support is designed around the scale you're at.

Every engagement gets its support model written down before we start — what is included, what is on request, and what it costs. No boilerplate SLA, no surprises.

If your system is mission-critical and that is inside our wheelhouse, we can build to that standard. If it is outside it, we'll tell you now — and usually propose an arrangement that fits: a narrower scope of cover, an escalation path, or the right partner for the rest.

The honest version of all of this: day-to-day operations cover is not where we spend our energy — and we'd rather be upfront about that than discover it together.

Optional

Software that comes with staff

Both optional, both on top of a build. Less like features, more like employees that arrive with the system.

An internal agent

Continues developing your software after handover. It knows the system, writes to its standards, deploys safely, and can answer questions about your own data. Your agent, your data, your choice of inference — no lock-in from our end.

An external agent

A front door that understands your business. It answers your customers in the context of your actual product and routes what it shouldn't handle alone. The agent answering questions on this site is the same product — try to break it.

You leave with the whole thing.

A coherent codebase built to a consistent standard. Documentation that reflects what actually got built rather than what was planned. Operating notes — how the system works, why it works that way, and what to do when it misbehaves.

All of it legible to a human and to an agent, because the next person to work on your software will almost certainly be working through one.

Designed so you can leave. Your repository, your cloud, your data, your choice of model.

Coming from Lovable, base44, or something like them?

You proved demand. That's the hard part of starting, and it's worth saying plainly that those tools are good at what they're for.

We don't start by telling you to rebuild.

Where the existing code can carry the next phase, it carries it. The first pass is finding out which parts those are.

Keep what works.

Often the interface and the product decisions are sound and it's the foundations underneath that have become the ceiling.

Replace what's become limiting.

Usually that means data, auth, integrations, deployment and testing — the parts that matter once real customers are on it.

Then it's yours to keep.

Same handover standard as any other engagement — code, documentation, operating notes, no dependency on us.

Our element

Web applications and the systems around them — that's where the value is highest for you, and the craft is deepest for us. Training models, mainframes, COBOL, core banking: if that is your sphere, it is outside our element — and a specialist will serve you better.

From time to time we take on work outside our comfort zone — to grow technically, to broaden the organism's understanding, and as it onboards a wider set of skills, in developers and in agent capabilities alike. The default, and the reason to choose us, is the field above.

That field is large — and it is the place you will get the most out of us.

Tell us what you need

If it fits, we'll tell you how it would go. If it doesn't, we'll tell you that too — and usually who to talk to instead.

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