01 Services
Custom software development
Not every problem needs a model. We build conventional web, mobile and internal applications to the same standard as our AI work — and we use AI throughout our own delivery process to move faster without trading away quality.
02 What we build
What we build
- Web applications and customer portals
- Internal tools, admin panels and back-office systems
- Mobile applications, native or cross-platform
- APIs and backend services other systems depend on
- Data dashboards and reporting platforms
- Marketplaces, booking systems and workflow products
If AI genuinely helps your product, we will build it in. If it does not, we will say so — adding a model to a problem that does not need one is a cost, not a feature.
03 AI-assisted delivery
How AI makes the build faster — and more accurate
We use AI tooling inside our own engineering process, not as a gimmick but because it measurably shortens the distance between a decision and working, reviewed code. What that changes in practice:
- Scaffolding and boilerplate — the repetitive layers of an application are generated and then reviewed, so engineering time goes into the parts that are actually specific to your business.
- Test coverage from the start — generating test cases alongside the code makes thorough coverage the default rather than the thing that gets cut when a deadline moves.
- Faster review cycles — automated review catches the mechanical problems before a human looks, so code review is spent on design and correctness.
- Documentation that keeps up — generated and checked as the code changes, instead of written once and left to rot.
- Migration and refactoring at scale — mechanical changes across a large codebase become tractable rather than being deferred indefinitely.
The engineering judgement stays human. Every generated line is reviewed by the person who puts their name on the pull request, and the architecture decisions are made by people who will still be accountable for them in a year.
04 What you get
What we deliver
- A working application deployed to your environment
- Clean, documented source code that your team owns outright
- Automated tests covering the paths that matter
- CI/CD pipelines so releases are routine rather than risky
- Handover documentation and training for whoever maintains it
05 Technologies
Technologies we use
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Languages & frameworks
What the system itself is written in.
- TypeScript
- React
- Next.js
- Node.js
- .NET
- Python
- FastAPI
- React Native
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Data & storage
Where information lives and how it moves.
- PostgreSQL
- MongoDB
- Redis
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Cloud & runtime
Where it runs, and how it scales.
- Docker
- AWS
- Azure
06 Questions
Frequently asked questions
No. A large share of useful software has no model in it at all. We build conventional applications to the same standard, and we will tell you plainly when AI would add cost without adding value.
It should mean the opposite. Generated code is reviewed by the engineer responsible for it, and the time saved on boilerplate is spent on design, tests and edge cases. Where we have less confidence in a generated approach, we write it by hand.
You do, outright, including any AI-assisted portions. We hand over the repository, the documentation and the deployment pipeline, and we train whoever will maintain it. There is no licence-back arrangement and no lock-in.
Yes. We start with an audit of what is there — architecture, test coverage, dependencies and the parts nobody documented — and come back with an honest assessment before proposing any work.