Uzbekistan's first AI designer that uses real furniture from local stores (Dafna, AIKO). Visualize, budget, and buy.


Moving into a new apartment in Uzbekistan shouldn't feel like starting from zero.
New high-rise apartments are delivered as empty concrete shells, leaving 100,000+ homeowners to start renovation from zero.
Inspiration (Pinterest/Instagram) clashes with reality. You can’t find the right furniture locally, leading to the "Cost of Guessing".
Professional designers charge $1,500+ for drawings. Without a plan, homeowners spend millions of Soums on errors (too big, clashing colors, returns).
Three simple steps to transform your space from empty concrete to a beautiful home.
Take a photo of your empty room and upload it to our platform.
Select from Modern, National, or Hi-Tech styles and set your budget.
AI generates your look with a complete shopping list in UZS.
Built with cutting-edge technology for real-time AI interior design.
Retrieval-Augmented Generation for intelligent furniture matching (using image, text, and room dimensions).
Semantic search across thousands of real furniture items, ensuring highly relevant, budget-aligned recommendations.
Scalable architecture that separates the AI engine (Python) from the core business logic (Java), allowing independent scaling and robust deployment.
Used for building a robust and scalable microservice architecture, managing business logic, user authentication, and secure data handling.
Selected for its high performance and asynchronous capabilities, providing a fast and efficient endpoint to expose the Multimodal RAG and Vector Search models.
Leveraged for modern, type-safe development to create a fast, server-rendered, and highly interactive user experience (UI).
From hackathon prototype to the go-to platform for home renovation in Uzbekistan.
Core AI functionality with basic furniture catalog integration.
November 2025
Live connection with Dafna, AIKO, and 3 more Tashkent furniture stores.
December 2025
Augmented reality preview and integrated payment plans with local banks.
Q1 2026