We combine AI-assisted speed with senior design judgment. The result is a process that moves faster than traditional agencies, without cutting corners on craft, clarity, or quality.
We do not use AI to replace thinking. We use it to do more of it, faster. Every week, AI helps us move through the parts of the process that should not slow us down, so our designers can spend time on the work that actually matters.
Discovery & Research
Faster synthesis of client context, competitor patterns, user needs, and product constraints. We get clear on the real problem faster, so we build the right thing from the start.
UX & Flow Exploration
Faster exploration of information architecture, user flows, sitemaps, and interaction patterns. More directions considered in less time, better decisions made earlier.
AI Behavior Mapping
Mapping AI outputs, edge cases, and failure modes before designing screens. This is what separates AI product design from standard design, and where most studios fall short.
Copy & Content
Faster exploration of page structure, messaging angles, and microcopy directions. We test more options before committing, so the final copy is sharper and more intentional.
Build & Development
Faster prototyping, frontend implementation, code cleanup, and dev support using AI-assisted tools. Less time on repetitive work, more time on building things properly.
QA & Documentation
Faster handoff prep, design specs, implementation review, and process documentation. Every project closes clean, with no missing context and no loose ends left behind.
From idea to launch-ready AI experiences
We keep the stack flexible. These are the tools we use most across design, build, AI, and delivery.
Design
Figma
Framer
Claude Design
Rive
Adobe Illustrator
Adobe Photoshop
AI & Build
Claude
Cursor
Perplexity
V0
Lovable
Midjourney
Development
React
Next.js
TypeScript
Node.js
React Native
Supabase
Project & Delivery
Notion
Linear
Loom
Google Meet
Slack
ClickUp
We work in the open.
You are never out of the loop.
No big reveals after two weeks of silence. We share progress regularly, keep feedback loops tight, and move fast without losing you along the way.
01
Kickoff call
We align on goals, scope, timeline, and communication style before work begins.
02
Shared Notion board
Your project lives here. Brief, files, feedback, decisions, everything in one place.
03
Loom updates, several times a week
Async video updates so you always know what is happening, without needing a call.
04
Weekly review call
One focused call per week to review work, give feedback, and confirm next steps.
05
Clean handoff with documentation
Every deliverable comes with proper context. No unexplained files.
06
Ongoing support after launch
We are available for questions, fixes, and next sprints after the project wraps.
AI Product Design FAQs
1. What is AI-native product design?
AI-native product design is the practice of designing software interfaces built around how AI behaves: probabilistic outputs, model errors, confidence states, and adaptive UI. It is different from using AI tools to do design work. Gr8r Studio is a London product design and development studio that designs AI-native products for SaaS and AI companies, focused on the moment users get value, trust the output, and decide to stay.
3. Why do AI products lose users in the first month?
5. How long does an AI product design project take?
7. Do you work with early-stage startups or only funded companies?
9. Do you offer a paid audit before a full engagement?
2. How is designing AI products different from regular UI/UX design?
Traditional software is deterministic, so the same input gives the same output and the interface can be designed for fixed states. AI products are probabilistic. Outputs vary, models fail, and confidence shifts, so the interface has to communicate uncertainty, build trust in the output, and give users a way to recover when the AI is wrong. Gr8r Studio designs for those states, which is where most AI products lose people.
4. How much does it cost to hire an AI product design agency?
6. Do you build the product, or only design it?
8. How do you measure whether a redesign actually worked?
10. How do we get started?
