Build it. Fix it. Scale it.
Whether you’re starting from a blank page, you’ve inherited a build that doesn’t work, or your product needs to survive real growth — we take it from wherever it is to something that actually works.
New product builds
You’ve got an idea and need it built properly — not prototyped, not half-finished, not handed off to a junior team while you talk to the partner. We handle product strategy, architecture and delivery end to end, and get a real, testable version of your product in front of users in weeks, not months.
See how we did this for Yepic →
Rescue and rebuilds
Inherited a codebase from an agency that missed the brief, or a product that’s become unmaintainable? We audit what’s actually there, tell you straight what’s worth keeping and what isn’t, and rebuild what needs rebuilding — properly, this time.
See how we did this for Your Pilates Physio →
Scaling and hardening
A product that works for a hundred users can fall over at ten thousand. We build for real growth from day one — event-driven architecture, automated moderation, real-time features, monitoring that actually tells you something — so a spike in traffic is a good problem to have, not an outage.
See how we did this for Cricket Allrounder →
Ongoing development
Most of our client relationships don’t end at launch. We stay on as your technical team — shipping features, fixing what breaks, and making sure you’re never stuck waiting on us for something you should be able to do yourself.
Fractional CTO and team coaching
Not every team needs, or can justify, a full-time CTO. We plug in as fractional technical leadership — architecture decisions, hiring, code review, whatever the actual gap is — and coach the team you’ve already got, so they don’t need us in the room forever.
How we work
No fixed-scope contract written before anyone understood the real problem, and no disappearing for months between check-ins. We work in short cycles, show you working software every week, and change course when we learn something new — because we usually do.
We use AI where it genuinely earns its place — speeding up the boring parts, catching bugs earlier — and leave it out where it doesn’t. No AI-generated code dumped into your codebase without review, no chatbot bolted on because it’s trendy. Sensible use, not blind adoption.