Front-end engineering
React and Next.js interfaces, performance-budgeted and accessible.
Back-end & APIs
Node.js and GraphQL services with clean, documented, API-first contracts.
Headless architecture
Composable, decoupled systems that evolve independently.
CI/CD & security
Automated pipelines and observability aligned to SOC 2 and ISO 27001.
We model your domain and commercial objectives before writing code, then ship in short, demoable increments with AI-assisted engineering so quality and velocity rise together.
Why the platform decision outlives everyone who makes it
A web platform is rarely replaced because it broke. It gets replaced because every change became expensive. New features take three sprints instead of one, nobody can safely touch the checkout, the one developer who understood the templating layer has left, and hosting costs climb while performance falls. Eventually someone calculates that a rebuild is cheaper than another year of friction — and the organisation pays twice for the same capability.
We build to avoid that outcome. That means resisting the shortcuts that make a launch date look good and the third year look grim: undocumented business logic in template files, integrations hard-coded to one vendor, a data model that assumed a single country and currency, no automated tests to catch regressions. None of these are visible at launch. All of them determine whether your platform is an asset or a liability by 2029.
The practical consequence is that we spend real time on the parts nobody sees. Domain modelling before code. API contracts documented before implementation. Test coverage on the paths that carry revenue. A deployment pipeline that any competent engineer can read. It is slower for the first fortnight and materially faster for the remaining several years.
What we actually build
Front-end work is React and Next.js, chosen per project rather than by habit. Next.js where server rendering, static generation and search visibility carry commercial weight — marketing platforms, content-heavy sites, commerce front-ends. React on its own where the product is an authenticated application and first-paint SEO is irrelevant: dashboards, member portals, configurators, internal tools.
Back-end work is Node.js with GraphQL or REST, structured API-first. That phrase gets used loosely, so to be concrete: the interface is designed and documented before the implementation exists, which means your mobile app, your partner integration and your internal reporting tool all consume the same contract instead of three divergent ones written under deadline pressure.
Where content editing matters, we implement headless architecture so the editorial experience and the presentation layer evolve independently. Your marketing team should be able to launch a campaign page without an engineering ticket, and your engineers should be able to rebuild the front-end without renegotiating the content model.
Everything runs through CI/CD from the first commit. Automated tests, dependency and vulnerability scanning, staged environments, and observability wired in before launch rather than after the first incident. Security practice follows SOC 2 and ISO 27001 patterns: least-privilege access, encryption in transit and at rest, secrets kept out of repositories, and audit logging that a reviewer can actually follow.
How AI changed the build, and what it did not change
Our engineers pair with Claude and modern AI coding tools across the mechanical work — framework migrations, test authoring, repetitive component construction, documentation, code review passes. On well-specified tasks this compresses schedules meaningfully, and it lifts the quality of the things that usually slip first, because test coverage and documentation stop competing with the deadline.
What has not changed is accountability. Published industry data on coding agents still shows human intervention required on roughly a fifth of tasks, and our own rule is stricter than that: no AI-generated change reaches your repository without a named engineer approving it. Architecture, data modelling, security decisions and anything touching money remain human work. We are transparent about this because the opposite claim — that AI has removed the need for senior engineers — produces the exact codebases we get called in to rescue.
What you own at the end
You receive the repository, the infrastructure definitions, the documentation and the deployment pipeline. Nothing we build requires Media 365 to keep it running, and we will happily brief an internal team or another vendor. Long relationships should exist because the work is good, not because leaving is painful.
Typical enterprise builds run ten to sixteen weeks from discovery to launch, driven mostly by integration scope rather than page count. Delivery is in two-week increments, each ending in something you can click. You will never wait three months for a reveal.
How long does an enterprise web build take?
Most enterprise platforms run 10–16 weeks from discovery to launch, depending on integration scope. We work in two-week increments with a demoable build at the end of each, so you see progress rather than waiting for a reveal.
Who owns the code?
You do. We hand over the repository, documentation and infrastructure-as-code, so you are never locked to us to make changes.
How do you keep a build secure?
We deliver aligned to SOC 2 and ISO 27001 practices: least-privilege access, encrypted data at rest and in transit, dependency scanning in CI, and audit logging from day one.