Your customers live in apps. Your operations often run on code older than the iPhone.
People now spend hours a day inside apps and judge yours against the best one they use. Behind the screen, many businesses still depend on systems nobody wants to touch, where every change is slow, risky and expensive. AI has made writing code faster. It hasn’t made getting it right any easier.
We do both halves of the job: new applications built to be maintained for years, and old ones modernised without stopping the business that depends on them.
3.6hrs
$167bn
up to 40%
46%
a day the average mobile user spends in apps. The bar is set by the best app they use, not by your competitors.
spent by consumers in apps in 2025, up 10.6% in a year. People pay for apps that work well.
of the value of a company’s technology estate is tied up in technical debt, according to CIOs surveyed by McKinsey.
of developers don’t trust the accuracy of AI-generated code. That is why every change we ship is reviewed and tested by people.
From the app in your customer’s pocket to the system behind it.
Six kinds of work, one engineering standard. Built new, extended or rebuilt, always for the people who use them every day.
Six layers under every app we ship.
Users only see the screen. The other five layers decide whether it is fast, safe, dependable and still easy to change in five years. Tap a marker to look inside.
Your oldest system is the one everything else depends on.
Rewriting it all at once is how modernisation projects fail. We modernise in slices: wrap the old system in APIs, rebuild the most valuable parts first and switch over only when each new part has proved itself.
90%
5.3tn
10-20%
monthly users of Google’s AI Overviews
monthly users of AI Mode, one year after launch
of B2B buyers used AI tools in a recent purchase
Map what you have
Code, data, integrations and the people who know them are scored by business value and risk.
Replace in slices
Wrap the old system in APIs and rebuild one capability at a time, the most valuable first.
Run side by side
Old and new run in parallel, with data kept in sync, until each slice has earned the switch.
Sources: McKinsey · Gartner, Top Predictions for 2026 · Sensor Tower
Six stages. Each one ends in something you can test, tap or sign off.
A working build on your own phone early, a demo every sprint and a clear decision at the end of every stage.
Pick the right foundation, not the fashionable one.
The stack should follow the job. Tell us what you are building and here is where we would usually start. Discovery confirms it.
Mobile
Swift · SwiftUI · Kotlin · Jetpack Compose · Flutter · React Native
Web & desktop
React · Next.js · Angular · TypeScript · .NET MAUI · Electron
Back end & APIs
Node.js · .NET · Java / Spring · Python · GraphQL & REST
Data
PostgreSQL · SQL Server · MongoDB · Redis · SQLite
Cloud & delivery
AWS · Azure · Google Cloud · Docker · Kubernetes · GitHub Actions · Fastlane
Quality & security
XCTest · Espresso · Appium · Playwright · OWASP MASVS · Crashlytics
Some of our apps are used miles from the nearest mobile mast.
Our work in maritime and marine salvage taught us to build for hard conditions: crews offline for days, satellite links measured in kilobits and live operations where a new tool is needed this week, not next quarter. We have built and deployed apps in record time to support operations at sea, and that urgency shapes how we work for every client.
Also building for logistics, manufacturing, energy, SaaS, healthcare, education and professional services.
Three ways in. One team accountable for the outcome.
Product build
Dedicated app team
Modernisation programme
A defined scope, fixed milestones and a launch date you can plan around.
Designers, engineers and QA working as an extension of your own team, on a monthly plan.
An assessment, a phased roadmap and a team that delivers it slice by slice.
Best for
new apps, first releases and rebuilds
Best for
products that ship every sprint
Best for
legacy systems the business can’t pause
