We don’t sell developers or engineering hours. You bring a problem, or a half-formed idea, and we hand back software that is designed, built, deployed and running.
No spec needed. A few paragraphs about the problem is enough to start.
This goes straight to us. A person reads it and replies within 1–2 business days. Nothing is scored by a bot on the way.
Retrieval over your own data. Agents that take actions. A copilot inside a product you already have. Automation that empties a queue somebody currently works through by hand. We treat AI as an engineering problem: it has to be grounded, measured, bounded in cost, and it has to fail in a way you can live with. A prompt in a text box isn’t a product.
Sign-up, roles and permissions, tenant isolation, subscription and usage billing, an admin you can live in, a documented API. Most of that list is invisible in a pitch and unavoidable in week two. We’ve built one of these for ourselves and run it in production, so we know which parts hurt.
Approval flows, back-office systems, review queues, scheduling, reporting. Nobody demos this software, and it quietly sets how fast the company can move. It has to be quick, obvious and correct, because the people using it are in it all day.
Internal developer platforms, deployment and environment tooling, observability, incident workflows, policy and access surfaces. We’re building for engineers, which helps, because we’ve been on the wrong end of most of these tools ourselves at three in the morning.
Plenty of companies don’t need another system. They need the ones they already pay for to talk to each other without somebody watching. Sync, event pipelines, webhooks, reconciliation, and the retry logic that keeps everything correct on the day a third-party API is having a bad time.
Something else? This is a list of patterns, not a menu. Describe the problem and we’ll tell you whether we’re the right team for it. Sometimes the answer is no, and you’ll get it quickly.
All categories ↗No specification required.
A few paragraphs are enough. Tell us what’s slow, manual, missing or broken, and what it costs you. If you already have a spec we’ll read it, and we’ll still ask why.
Deciding what to build is most of the work.
We turn the problem into a product: what it does, who it’s for, what the first version leaves out on purpose, how it’s put together, and what we can realistically ship first. You get something concrete to approve, argue with or reject.
One team, one codebase.
Product, design, frontend, backend, data, AI and infrastructure, all by the same people. You get something you can open in a browser early, and then again every week. Not a status report.
The unglamorous half.
Deployment, environments, tests, monitoring, backups, access control, and the launch itself. This is the half that decides whether the thing is still standing a month later, so it gets built alongside everything else instead of bolted on at the end.
Never automatic. Never a retainer you forget you’re paying.
By default the project ends at handover: the code, the infrastructure and the accounts are yours. If you later want a second version, more features, or for us to keep operating it, we scope that and add it to the contract. We don’t sell standing 24/7 support you may never use.
What the product does, who for, and what the first version leaves out on purpose. Most of the risk in a project is decided here, before anyone opens an editor.
We have built and run all five of these layers on a multi-tenant AI SaaS product of our own. That is where the list above comes from.
See the build ↗A requirements list isn’t a brief. Deciding what should exist, and what shouldn’t, is where most of the value is. Expect push-back before anyone writes code.
Product, design, frontend, backend, AI and infrastructure sit in the same room. Nothing gets lost between an agency, a freelancer and a hosting provider.
Authentication, tenant isolation, migrations, rate limits, backups, monitoring. Nobody asks for any of it in the first conversation. It’s the reason the software still works six months later.
We build serious AI systems: retrieval, evaluation, guardrails, cost control. We’ll also tell you when a good schema and a queue would do the job better. Not every problem is a chatbot.
We’ve carried our own products through production, incidents included. When you’re the one getting woken up, you design differently, and that shows up in what we build for other people.
We designed, shipped and ran a multi-tenant AI SaaS platform of our own: billing, integrations, tenants and everything underneath them. Client work is built to the same standard.
It doesn’t have to be a finished idea. Turning it into one is our half of the work.
