Platform stabilisation
Your platform is buckling. We stabilise it, without stopping the business.
Maybe it was vibe-coded. Maybe an agency built it. Maybe it just grew faster than its foundations. Now it's slow, fragile, or falling behind demand. We come in, stabilise it, and re-architect for scale, while it keeps running and serving customers.
Signs you need this
Five symptoms of foundations that stopped holding.
- Performance drops or outages as usage grows
- Every new feature breaks two old ones
- Security and compliance gaps you can't fully see
- A codebase only one person understands, or no one does
- An MVP that got you to customers but can't get you to scale
Built with AI?
Prototypes from ChatGPT, Claude, Lovable, Manus or Replit.
If an AI platform built it and you cannot deploy, secure or scale it, there is a shorter path than a full stabilisation engagement.
Vibe-coded to productionHow it works
Rapid technical audit
What's breaking, what's risky, what's urgent. A clear-eyed read of the codebase, architecture, and security.
Stabilisation plan
Sequenced fixes at a predictable cost, reassessed as we learn more. You know what gets fixed, in what order, and roughly what it costs.
Re-architecture for scale
Performance, security, and maintainability rebuilt on foundations that hold.
Handover or ongoing sprints
Take the wheel back, or keep our team as your product engine. Your call.
What changes
Breathing room to build again.
Faster, more reliable software. Security you can defend. A codebase your team, or ours, can actually maintain and extend. And breathing room to build features again instead of firefighting.
Proof
250% MRR growth. Stabilised, hardened, and built to grow.
We re-engineered an established electronic signature platform and grew its MRR by 250%.
Common questions
Will stabilising disrupt my current customers?
No. The whole point is that the business keeps running while we work. We stabilise and re-architect behind the scenes, in sequenced stages, so customers keep using the product without interruption.
I built my product with ChatGPT, Claude, Lovable or Replit. Is that a problem?
Not a problem, just a different starting point. AI-built prototypes usually need auditing, security hardening, and a proper data model before they can carry real users. See vibe-coded to production for that specific path.
How long does a typical engagement take?
It depends on what the technical audit finds. We scope a sequenced stabilisation plan first, so you know what gets fixed, in what order, and roughly what it costs, before committing to the full re-architecture.