Vinrax
Book a free consultation

[email protected]
Based in India. Working with teams globally.

Approach

How we work.

Designers make the decisions. AI does the building. Real users confirm whether we got it right.

Process

Four stages, from idea to a product people use.

  1. Discover

    We learn who your users are and what they need, and agree on the problem worth solving.

    What happens

    Interviews and field research with real users, a review of your current product, user personas, and a solution architecture that shows how the pieces fit together.

    What you receive

    • Research findings
    • User personas and needs
    • Solution architecture
    • An agreed problem statement and success measures
  2. Prototype

    We design the experience, and AI turns it into a working prototype within days.

    What happens

    User flows and screens on your design system, built by AI into an interactive prototype that behaves like the real product.

    What you receive

    • Experience design in Figma
    • A working, interactive prototype
  3. Validate

    We test the prototype with real users before you commit to a full build.

    What happens

    Usability sessions with the people who will use the product. We fix what doesn't work, then test again.

    What you receive

    • Usability findings
    • A refined, validated prototype
    • A clear decision on what to build
  4. Build and scale

    We build the first release with AI, under your rules, and set up the team that sustains it.

    What happens

    AI-assisted engineering, governed by specifications, skills and independent checks. Where needed, we also set up your design team and support hiring and training.

    What you receive

    • A first release (MVP)
    • Figma files and code your engineers can extend
    • Your Design Constitution
    • A team ready to take it forward

Roles

Clear roles, for people and for AI.

  1. Designers lead

    Research, personas, experience design, architecture and the rules: every decision that requires judgment.

  2. AI builds

    Prototypes, code and variations, following your Design Constitution and skills.

  3. A checker verifies

    An independent check on every task, against agreed quality gates. Nothing is complete until it has been verified.

AI-native workflow

From your design system to working code.

We connect Claude to Figma through the Model Context Protocol (MCP). Working directly with your design system, it produces Figma files, interactive prototypes and React code your engineers can extend.

Your design system
Claude, connected to Figma through MCP
  • Figma files on your design system
  • Interactive prototypes
  • React code

Design Constitution

One set of rules for designers and AI.

A Design Constitution captures how your product should look, behave and read: your design system, interaction patterns, brand rules and accessibility requirements. Designers and AI tools work from the same file, so output is consistent from the first draft.

Example excerpt: design-constitution.md
# Design Constitution: Your product

## Components
- Use design system components. Never build a new button.
- One primary button per section.

## Accessibility
- Text meets WCAG 2.2 AA contrast.
- Every form field has a visible label.

## Voice
- Short sentences. Plain words.
- Buttons say what happens: "Send enquiry", never "Submit".

Research methods

How we learn what users need.

Interviews
One-to-one conversations about goals, habits and frustrations.
Field studies
Observing people as they work, in their own environment.
Usability testing
Real people completing real tasks on a prototype or live product.
Card sorting
How people group and label information, to shape navigation.
Journey mapping
Every step, channel and handoff, end to end.
Personas
Who your users are, grounded in research rather than assumptions.
Analytics review
What usage data shows, and where it differs from what people tell us.

See how this would work for your product.

We reply within 2 working days.