/services/software-engineering
The engineering that makes intelligence dependable
Custom web applications, APIs and integrations, written by senior engineers. An AI feature is only as reliable as the software carrying it, so we build that part properly too.
// what we do
Where we earn our keep
- Greenfield builds. Web applications and platforms designed around your workflow, with the data structures and hooks an AI layer needs already in place.
- APIs and integrations. Payment providers, CRMs, warehouses and legacy systems connected with proper error handling, so automation doesn't fall over when a third party does.
- Legacy rescue. Inherited a system nobody understands? We document it, stabilise it and modernise it in stages, and often add the first AI feature along the way.
- Code audits. A second opinion on an existing codebase before you buy it, scale it or point a language model at it.
// tools we reach for
The stack
Chosen per project, never by habit. These are the tools we most often ship with for software engineering.
// deliverables
What you actually get
Every engagement ends with things you can point at, not hours on an invoice.
Working software
Deployed, tested and in use, with a demo you can click every fortnight along the way.
Readable codebase
Reviewed code with tests and a README your next developer will thank you for.
Technical documentation
Architecture decisions, API references and runbooks written for humans.
AI-ready foundations
Clean data models and event hooks, so adding intelligence later is a feature, not a rebuild.
A fixed-price scope
Agreed before we start. Change is fine, surprise invoices are not.
A second engineer's eyes
Nothing merges unreviewed. Ever.