Everyone
Product Engineering
The classic build — web, mobile and cloud on MERN, MEAN, React Native and Node — now delivered through the AI-first pipeline.
- React & Node
- React Native
- AWS / Azure / GCP
One team for the whole product. What the work actually consists of — not a menu of buzzwords.
Web, mobile and cloud, together
Front end, backend and the infrastructure underneath, delivered by the same people — so nothing falls in the gap between a frontend shop and a DevOps contractor.
The stacks we actually run
MERN and MEAN for web, React Native for cross-platform mobile, Node services on AWS, Azure or GCP. Chosen for your constraints, not our comfort.
Built through the AI-first pipeline
The same six-stage loop that runs on every engagement here. The stack is conventional; the way it gets built, reviewed and shipped is not.
Where a conventional build quietly goes wrong. Each of these is easy to miss, cheap to fix early, and expensive once it is in production. It is what the human gates in our pipeline exist to catch.
The “works on my machine” deploy
Code that runs locally and falls over the first time it meets real traffic, a cold cache or a slow third-party API. Caught before it is your incident, not after.
The schema you can’t change later
A data model that is convenient for the first feature and expensive for every feature after it. That is a senior-review conversation now, not a rewrite in a year.
Error states and accessibility, skipped
The happy path always demos well. The empty state, the failed payment and the screen reader are where products are actually judged, so they are part of the scope, not an extra.
Who this is for. And, so you don't spend a call finding out, who it isn't — with a pointer to the one that fits instead.
A fit if
- You need a product built end to end, not a body to fill a seat
- You want one team accountable for web, mobile and cloud
- You value shipping over allegiance to a particular framework
Probably not if
- You only need a specialist to slot into an existing team — that is Dedicated AI-Enabled Teams
- Your system is mostly legacy and needs migrating first — that is Modernisation & Rescue
How the engagement is shaped.
Scoped per project. Fixed price where the requirements are clear enough to fix a number against, time-and-materials where they genuinely are not — and we tell you honestly which one you are in. You own the repository, the cloud account and the IP from week one.
Whatever you sign, the delivery loop underneath is the same: 6 stages, and the same two of them are a named senior engineer saying no. Nobody gets a cheaper pipeline for buying the cheaper engagement.
See the pipeline, stage by stageOther ways to work with us. Same pipeline, different commercial shape. If none of them is obviously right, that is what the free spec is for.
- Startups
MVP Sprint
Idea to a production MVP in nine weeks, fixed scope and fixed price. The fastest way to find out whether the thing works.
Explore - Startups & scale-ups
AI Product Engineering
LLM-backed products built properly — retrieval, agents, tool use, evaluation harnesses, cost controls and the guardrails that keep them from embarrassing you.
Explore - Enterprise
AI Integration & Automation
Bring AI into systems that already exist and already matter, without a rewrite: document pipelines, support deflection, internal copilots, back-office automation.
Explore - Enterprise
Modernisation & Rescue
Ageing platforms and stalled builds. AI-assisted migration makes the economics of modernisation work where they previously did not.
Explore - Scale-ups & enterprise
Dedicated AI-Enabled Teams
An embedded senior team running our pipeline inside your organisation, on your board, in your timezone overlap.
Explore
Tell us what you’re building.
Thirty minutes with an engineer, not a salesperson. You will leave with a scope, a timeline and a number — or an honest reason why we are not the right fit.