Product & SaaS Engineering
SaaS platforms, custom software and MVPs — built with AI-assisted workflows and held to production engineering standards.
We build the software products companies run on: multi-tenant SaaS platforms, internal tools that replace a decade of spreadsheets, and first versions that need to reach users before the runway runs out. AI has made parts of this dramatically faster. It has not made architecture, security or scale optional — and the gap between teams who understand that and teams who do not is currently the widest it has ever been.
Who this is for
Founders who need a credible first version in weeks, not quarters. Established businesses whose operations have outgrown spreadsheets and off-the-shelf tools. Companies carrying a system that works but can no longer be safely changed.
Problems we solve
- Prototypes sold as products. Something that demos well but has no tests, no migrations and no path to a second customer.
- Multi-tenancy bolted on late. The single hardest thing to retrofit into a SaaS product, and the most common thing to defer.
- Cost curves that do not work. Infrastructure priced for a hundred users that becomes ruinous at ten thousand.
- Systems nobody dares change. No test coverage, so every deploy is a risk and velocity approaches zero.
- Integration sprawl. Payment, email, auth and analytics each wired in a different style by a different contractor.
What we build
- Multi-tenant SaaS platforms with subscription billing, roles and permissions, and per-tenant isolation
- Custom business software modelled on how your operation actually works
- MVPs scoped to answer one commercial question quickly, without foreclosing version two
- Backend systems and APIs designed to be consumed by web, mobile and partners
- Modernisation of legacy systems, migrated incrementally rather than in one risky rewrite
How we work
We use AI-assisted development throughout — code generation, test scaffolding, refactoring and documentation — and it genuinely compresses timelines. What it does not replace is the review layer: architecture decisions, a human reading every diff, security review, automated tests that actually assert behaviour, and a deployment pipeline that can roll back. Generated code that nobody has read is technical debt that arrives faster. Ours is reviewed, tested and owned.
Technologies we use
Laravel and Node.js on the backend; Next.js, React and TypeScript on the front end; MySQL, PostgreSQL and Redis for data; Docker for parity between local and production; GitHub Actions for CI; AWS and other cloud platforms for hosting. Stripe for billing, and whatever your domain requires at the edges.
Business benefits
- A first version in front of real users in weeks, so you learn before you overbuild
- Software shaped around your process instead of your process bent around software
- Test coverage and CI, so changes stay cheap for years rather than months
- Architecture that survives the growth you are planning for, not just today's load
- Documented handover — you own the code, the infrastructure and the knowledge
Where it pays off
- Launching a subscription product with tiered plans and usage limits
- Replacing a fragile network of spreadsheets that runs a core operation
- Validating a startup idea with a real, chargeable product
- Exposing your data to partners or a mobile app through a stable API
- Lifting an ageing but business-critical system onto a supported stack
Common questions
Do you use AI to write our code?
Yes, as a tool, in the way a compiler or a linter is a tool. Every line is reviewed by an engineer, covered by tests and subject to the same architecture and security standards as hand-written code. We are open about this because the alternative — pretending otherwise while shipping unreviewed generated code — is what gives the practice a bad name.
Who owns the code?
You do, from the first commit, in your own repository. No licensing arrangement, no hosting lock-in, no dependency on us to make changes.
Can you take over an existing project?
Frequently. We start with an audit — architecture, dependencies, security, test coverage — and give you a written assessment of what is sound, what is risky and what it would cost to stabilise, before committing to ongoing work.
What does an MVP actually include?
The narrowest set of features that lets a real user complete the core journey and pay you for it, on infrastructure that will not need throwing away. Scoping that line is most of the value.
Have a product to build or rescue? Bring us the problem and we will tell you the smallest version worth building first.