Services / Custom Software
Build the system your business actually needs.
Most off-the-shelf software is built for a generic version of your problem. We build for the specific one — the one shaped by how your business actually works, the data you actually have, and the constraints you actually live inside.
What we mean by Custom Software
Build the system your business actually needs, not the one your software vendor sells.
- Web platforms and customer-facing products
- Internal tools and operations systems
- API integrations across your existing stack
- Legacy replacement, done incrementally
- Mobile-friendly responsive web apps where they belong
What you get
Outcomes, not deliverables.
Working software in front of real users in weeks, not quarters
A system shaped to your operations, not the other way around
Senior engineering experience on the architecture decisions that are expensive to undo
How we approach it
4 stages, in this order.
- 01
Frame
We work out what we're actually building, why, and what success looks like — before any code gets written.
- 02
Shape
We design the smallest credible version of the system, validate it against your real users and data, and lock the architecture decisions that matter.
- 03
Build
Senior engineers, weekly demos, working software at the end of every week. AI-accelerated where it helps, slow and careful where it doesn't.
- 04
Ship
Real users on real data, instrumented properly, ready to iterate. Documentation and code you fully own.
The AI angle
AI accelerates the team. Senior experience still decides what to build.
AI tooling has compressed the time from "decision" to "working code" — but only for teams who already know what good code looks like. We use AI heavily on scaffolding, tests, and documentation, and we keep human experience on the architecture, the data model, and the trade-offs that survive past the first release.
- AI-accelerated coding, design, and QA — getting to working software in weeks, not quarters
- Senior engineers on the decisions AI can't make for you
- The discipline of evals and review that keeps AI-written code production-grade
Proof
Recent work in this area.
Adding AI summarisation to a regulated SaaS product, without breaking the audit
Shipped the first AI feature into a regulated product — with evals, guardrails, and cost monitoring designed in from week one.
Read case studyFrom spreadsheet to inspection platform in twelve weeks
A field-inspection MVP that replaced a sprawl of spreadsheets, with audit trails designed in from week one — shipped in twelve weeks.
Read case studyQuestions we hear a lot
FAQs.
- Do we own the code?
- Yes — fully and from day one. Every line we write is yours, in your repository, under your licence. No lock-in clauses.
- What stack do you use?
- We default to stacks we've shipped in production many times — typically TypeScript, Postgres, a modern web framework, and the AI tooling that fits the job. We'll happily work in your stack if you have one. We won't recommend something exotic just to keep ourselves entertained.
- Can we take it in-house after launch?
- That's usually the goal. We document as we go, write code your team can read, and run a deliberate handover. If you want to keep us on as well, that's a conversation for the discovery call.
- How do you price this kind of work?
- Fixed-fee phases where scope is clear, time-and-materials where it's deliberately open. The discovery call always ends with an honest indicative range before any proposal.
- What if scope changes during the build?
- It usually does. We replan in the open — a short conversation about what's changed, what it costs, and what comes out to make room. No surprise invoices.
Got a build in mind? Let's have a conversation.
Liverpool, UK. Available across the UK and remote.