A data model that holds
Schema, relationships and indexes designed for how the product will actually be queried, not reverse-engineered from screens.
Web Projects Rarely Fail At Launch
They fail in month six. The launch goes fine, because on launch day the database has a thousand rows, two people are logged in, and the only person who understands the deployment is still answering messages. The cost shows up later, and it is almost always one of four things.
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It was only ever fast on a demo
Fine with ten records. At ten thousand a page takes nine seconds, and nobody can say which query is responsible.
Performance debt -
Every change touches everything
Interface, business rules and database access are tangled together, so a one-line change means retesting the whole app.
Fragility -
Only one person can deploy it
Manual steps, undocumented setup and credentials living on a laptop. When that person is unavailable, so is your product.
Single point of failure -
Security was going to be phase two
Authentication bolted on late, no rate limiting, unvalidated input. The gap gets found, just not by you.
Exposure
A website has to look right.
A web product has to keep working while people use it.
None of these are exotic engineering problems. They are decisions that were skipped early because skipping them made week one faster. Every one of them is cheap to get right at the start and expensive to unpick once there is live data on top.
Decisions Before Code
We do not open an editor on day one. We work out what the thing has to do, how the data is shaped, where the load will land and what the team has to maintain afterwards. If your requirements are still forming, that thinking is its own piece of work: the Idea to Execution Blueprint exists exactly for that.
Code your team can read
Clear boundaries between interface, logic and data, so a new developer can find where a change belongs on the first day.
Speed from structure
Fast because of the architecture, the queries and the caching, not because of last-minute tricks bolted on before launch.
Deployments that are boring
Push, tests run, it goes out, you can roll it back. Releasing on a Friday afternoon should not be an event.
What We Actually Build
A complete application, not a set of screens waiting for someone else to wire up. Four layers, all built by the same team, so nothing falls into the gap between a frontend contractor and a backend one.
01
Interface
What your users see, on every device they use.
Frontend- Component architecture and design system
- Responsive layouts, mobile to desktop
- State management and data fetching
- Accessibility to WCAG standards
- Performance budget and Core Web Vitals
- Analytics and event tracking
02
Application & APIs
The rules of your business, written down in code.
Backend- REST or GraphQL API design
- Authentication and role-based access
- Business logic and validation
- Background jobs and scheduled work
- Third-party and payment integrations
- Rate limiting and abuse protection
03
Data
The part that is expensive to change later.
Storage- Schema and relationship design
- Migrations with a rollback path
- Indexing and query optimisation
- Caching strategy
- Backups and restore testing
- Reporting and export paths
04
Delivery & operations
Everything that decides whether it stays up.
Handover- CI/CD pipeline with automated tests
- Staging and production environments
- Infrastructure as code
- Uptime monitoring and alerting
- Error tracking and structured logs
- Written docs and a team walkthrough
When A Template Is Enough, And When It Isn't
We will tell you if you do not need us. If you want a brochure site with a contact form, a page builder will do it in a weekend for the price of a subscription, and paying an engineering team for that is a waste of your money. The line is where the product stops being pages and starts being logic.
Fine until the product has rules
- Your data model is whatever the plugin decided
- Custom logic means fighting the platform
- Performance is capped by someone else's stack
- Integrations only where an add-on exists
- Pricing scales with users, forever
- You cannot take it anywhere else
Worth it once the rules are yours
- The schema is designed around your domain
- Any workflow you can describe, we can build
- Performance is something you control
- Integrate with anything that has an API
- Infrastructure cost, not per-seat rent
- Your code, portable to any team
The moment you have users with different permissions, data that has to stay correct, an integration with a system you do not control, or a workflow nobody else has, you are building software. At that point the template stops saving you money and starts charging you for it.
How A Build Runs
You see working software early and often. There is no phase where we disappear for two months and come back with a surprise.
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01
Week 0
Discovery
What it has to do, who uses it, what it integrates with, and the constraints that usually go unsaid: the real budget, the real deadline, and who maintains this in a year.
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02
Week 1
Architecture
Stack, data model, API contract and infrastructure, written down and justified. This is the document your team can challenge before anything is expensive to change.
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03
Ongoing
Build in slices
Vertical slices, not layers. Each one goes from interface to database and is deployable on its own, so progress is something you can click on rather than read about.
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04
Every release
Review
A staging environment you can use whenever you want, with a short written note on what changed. Feedback lands while the code is still warm.
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05
Before launch
Hardening
Load testing, a security pass, accessibility checks, cross-browser testing and a restore drill on the backups. Ideally boring, occasionally the most valuable week of the project.
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06
Launch
Go live & hand over
Deployment, monitoring and alerts, then documentation and a walkthrough for whoever runs it next, whether that is your team, another agency, or us on a retainer.
Technologies We Use
We pick the stack to fit your product, your team and what you can hire for later, not because it is what we used last time. Every choice in your architecture document comes with the reason behind it.
Frontend
Backend
Database
DevOps & Cloud
The People On The Call Are The People Writing It
NoCubical is a small, senior studio. There is no sales layer between you and the engineers, and no handover from the team that pitched to a cheaper team that delivers.
10+ years
Hands-on experience per engineer, across agencies, product companies and enterprises. No juniors learning on your budget.
Senior by default
Small by design. The person answering your questions in week one is still reachable in month six.
Built, shipped, maintained
We have kept our own work running for years afterwards, which is the part that teaches you what actually breaks. See how we work.
No lock-in, at any point
The repository and the cloud accounts are in your name from day one. No proprietary framework, no hosting you cannot leave, and nothing that only we know how to deploy.
Your idea stays yours
We will sign a mutual Non-Disclosure Agreement any time you want one, at no cost. You can read the exact document we use before you ask for it.
Frequently Asked Questions
Can you take over an application someone else built?
Yes, and it is a large part of what we do. We start with a review of the codebase, the data model and the infrastructure, then give you a written read on what is worth keeping, what needs work, and what will cost more to maintain than to replace. You get that assessment whether or not you go ahead with the work.
Do we own the code and the infrastructure?
Yes, completely. The repository and the cloud accounts are yours from day one, not ours. There is no proprietary framework you have to license, no hosting you are locked into, and no part of the system only we can deploy. If you move to another team, everything they need goes with the code.
Should we rebuild or improve what we already have?
Usually improve, and we will say so even though a rebuild is the bigger project for us. A full rewrite is only the right answer when the foundation genuinely cannot carry where the product is going. Most of the time the honest fix is a data model correction, a few structural changes and a proper deployment pipeline.
How do you make sure it holds up under real traffic?
Performance comes from the data model and the architecture, so those get decided before any feature work starts. Before launch we load test the paths that matter, check the query plans, add indexes and caching where the numbers say to, and set up monitoring so you find out about a problem before your users tell you.
Do you support the application after launch?
Yes. We can stay on for ongoing development, keep a maintenance and monitoring retainer, or hand the whole thing over to your team with documentation and a walkthrough. The same engineers who built it are the ones you reach afterwards.
Can we start with something small?
Yes. A tightly scoped first release is usually the better decision anyway. We agree what ships first, build it so the rest can be added without unpicking it, and get it in front of real users before you commit the rest of the budget.
- Free first call, technical, no obligation
- Scope and estimate agreed before any work starts
- Mutual NDA on request, before the first call
- Your repository and cloud accounts from day one