Cloudnonic designs product interfaces for founders and product teams who need screens that ship, not a deck. The same senior engineers who will build the product run the design work: user flows, information architecture, a design system and production-ready screens in Figma, checked against the data model and the APIs before anyone writes a line of UI code. It is offered on its own for a defined scope, or as the first weeks of a product engagement.
Design is either a fixed-scope piece of work with a defined deliverable, or the opening phase of a product-team engagement where the same people continue into the build. In both cases a senior engineer sits in every design review, which is how we keep the screens honest about effort and feasibility.
Your product team · What this prevents: A prototype that never becomes a platform, and a CTO hire made before the product deserves one.
The two engagement models →Chosen per project. We pick what your team can run after us, not what is fashionable.
Figma
React
Next.js
Tailwind CSSTailwind CSSNext.jsReactFigmaScreens get signed off that assume relationships, roles or states the system does not have. The redesign then happens in code, at the most expensive moment.
Weeks of rework at the end of the build, and a product that ships with the compromise instead of the design.
We put the data model and the permission rules on the table in the first design week, and we design the states, not just the happy path.
A polished Figma file arrives without states, without a component mapping and without anyone accountable for how it behaves on a phone.
Engineers fill the gaps themselves and the product drifts from the design within the first sprint.
The engineers who build the product are in the design work from day one, and handoff is a prototype plus a design system that maps to the component library.
A full visual overhaul lands as one big release, mixes brand changes with workflow changes, and makes every regression impossible to attribute.
Lost user trust, a support spike at launch, and no way to tell which change caused which drop.
We redesign flow by flow on the same release cadence as the rest of the work, and measure each step.
Yes, as a defined scope: flows, design system and production-ready screens with a clickable prototype. Most clients then keep the same team for the build, because the people who designed the screens already know the data model and the constraints.
Senior product engineers with design experience, working in Figma, with a UX specialist brought in for research-heavy phases. There is no separate design department that hands work over a wall; the people who design are in the build.
A Figma file with the design system and every screen in every state, a clickable prototype, and a written rationale for the main decisions. If we continue into the build, the component library implements the same tokens.
For a product with a defined scope, between three and six weeks from kickoff to production-ready screens. Larger platforms are designed flow by flow alongside the build rather than all up front.
Every service on this page is delivered with our AI-Native process: specs as the source of truth, agents in the pipeline, and a named engineer signing off at staging.
How we build with AI →