
Gissah
E-commerce storefront and digital brand presence for luxury fragrance house Gissah.
- Next.js
- Shopify
- Tailwind CSS
Digital products, AI systems and content
We design and build websites, AI systems, SaaS products and content — from the first architectural decision through to the infrastructure that keeps them running.
We work across the full stack of an AI product — the model, the software around it, and the infrastructure that keeps both honest in production.
Modern websites, web platforms, and scalable SaaS products built around how your business runs.
Intelligent systems that connect models to your data, applications and workflows.
The infrastructure around AI agents that lets them operate safely and predictably in production.
Content, editing and campaign management that keeps a brand in the feed every day.
Client names are withheld where agreements require it. Happy to walk through any of these in detail.

E-commerce storefront and digital brand presence for luxury fragrance house Gissah.

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Every package is a starting point. Combine services, drop what you do not need, or ask for something built entirely to fit.
Modern websites, web platforms, and scalable SaaS products built for growth.
For businesses that need a modern, professional online presence.
For growing businesses ready for an advanced digital web platform.
End-to-end product architecture and multi-user SaaS application.
Every package is fully customisable. Combine services across categories, remove what you will not use, or brief us on something that does not fit any of them.
Tell us what you needFour stages, run in short cycles. You see working software early and often, and nothing is a surprise at the end.
We start with the problem, not the technology. Constraints, users and the shape of success, established before a line of code.
Architecture and experience decided together. We choose the boring, durable option unless there is a reason not to.
Delivery in short cycles against working software. You see progress weekly, and nothing is a surprise at the end.
Deployed, instrumented and observable. We measure real behaviour and refine against it rather than declaring victory.
We are engineers first. Most of our work begins where a proof of concept ended — the point at which something promising has to become something people depend on.
A prototype that impresses in a meeting and a system that holds up under load are different disciplines. We build the second one.
Most projects fail on what got built, not how. We push back early, cut what does not earn its place, and ship the part that matters.
AI systems degrade quietly. Evaluation and observability are part of the build, not something bolted on after the first incident.