Case Study

Aspire Interiors

AI-powered interior design app that transforms any room from a single photo. Built in 90 days using Swift, Python, Google Vertex AI, and Supabase. Now live on the App Store in 175 countries.

Download on App StoreVisit Website
3 months
12 days to App Store
175
countries
238
AI designs generated
500+
materials in database
99.9%
backend uptime

The Challenge

Mark Lunnemann, CEO of AutoMazen.ai, had an idea: an AI-powered interior design app that could transform any room from a single photo. The challenge was building a production-ready iOS app with AI image generation, user authentication, payments, and App Store compliance — all within a tight timeline and budget.

Client

Mark Lunnemann, Founder of Aspire Interiors & CEO of AutoMazen.ai

Industry

Interior Design / AI Technology

Timeline

3 months, 12 days (February 2026 – May 2026)

Team

1 human (Mark) + 3 AI employees (Sophia, C, AI Content Agent)

The Journey

Week 1-2

Discovery & Architecture

Competitor analysis, core value definition, backend architecture (Supabase + Google Cloud), Apple Developer setup, 38KB technical spec

Week 2-3

Design & Prototyping

Editorial luxury aesthetic, 3 user paths, 12 style families, 500+ materials, before/after slider

Week 3-8

Core Development

Swift UI iOS app, Python Cloud Functions, Vertex AI integration, 238 AI-generated room designs, RevenueCat payments

Week 8-10

Testing & Iteration

Beta testing, rate limit fixes, image audit (67% error rate fixed), Edit Design feature, global endpoint switch

Week 10-12

App Store Launch

Screenshots, metadata, demo account, approval, live in 175 countries

Challenges & Solutions

AI Rate Limits

Problem: Vertex AI threw 429 errors after 600+ generations, blocking all users. Dead app.
Solution: Global endpoint + exponential backoff retry (2s → 4s → 8s). Cloud Function handles failures automatically.
Result: Zero downtime. 99.9% backend uptime.

Image Naming Errors

Problem: 67% of bedroom design filenames didn't match their prompts — users got wrong results.
Solution: Systematic audit of 238 images, batch renaming, content-based naming convention.
Result: 100% accuracy.

Technology Stack

iOS Frontend

Swift / SwiftUI

Native iOS app development

Backend

Python

Cloud Functions for AI orchestration

Database

Supabase

PostgreSQL, auth, real-time sync

AI/ML

Google Vertex AI

Image generation and text extraction

Infrastructure

Google Cloud

Hosting, deployment, monitoring

Payments

RevenueCat

In-app purchases and subscriptions

Results

What We Achieved

  • Live on the App Store in 175 countries
  • 3 months 12 days from idea to launch
  • 238 AI-generated room designs
  • 500+ materials in database
  • 99.9% backend uptime
  • 48-hour feature cycle time
  • One App Store rejection → approved in 48 hours
"From a conversation in February to the App Store in May — Sophia, C, and the AI Employee turned my idea into a real product that real people can download."
— Mark Lunnemann, Founder of Aspire Interiors & CEO of AutoMazen.ai

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