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Published project · Portfolio record

Designease - AI Interior Design Platform

AI-powered interior design platform for the Middle East market.

Organisation
Dr. Amani Alaali
Category
AI & machine learning
View the project
Designease - AI Interior Design Platform

The project, in context

What the project record documents.

We separate context, challenge, contribution and recorded scope to make the account more precise.

The sections below reproduce the published project record. Any outcomes mentioned describe statements recorded for this project; they are not presented as independent measurement.

01

Published context

AI-powered interior design platform for the Bahrain market. Features Vision Lab for material extraction and style matching using Gemini AI, collaborative design boards, surface library with 25+ materials, AI room visualizer, and subscription billing in BHD. Built for designers and architects in the Middle East.

Statement from the project record
02

Recorded challenge

Interior designers in the Middle East lack accessible AI tools tailored to regional aesthetics and materials. Existing design platforms are Western-focused and don't support Arabic, BHD billing, or the specific material palettes common in Gulf architecture.

Statement from the project record
03

Described contribution

We built Designease as a purpose-built AI design platform for the Middle East market. The Vision Lab uses Gemini AI to extract materials and style elements from reference photos. A curated surface library includes Gulf-relevant materials. The platform supports Arabic, bills in BHD, and integrates collaborative features for design teams.

Statement from the project record
04

Recorded scope and outcomes

Designease launched as a first-of-its-kind AI interior design platform for the Bahrain and Gulf market, providing designers and architects with AI-powered tools tailored to regional needs.

Statement from the project record

Technical record

Recorded technologies and capabilities.

These elements complement the operating context. They describe the published record without turning a tool list into a broad promise.

Technologies

Next.jsTypeScripttRPCDrizzle ORMPostgreSQLGemini AIAWS S3PostmarkTailwind CSSnext-intl

Recorded capabilities

  • Vision Lab — AI material extraction and style matching
  • Collaborative design boards
  • Surface library with 25+ materials
  • AI room visualizer
  • Subscription billing in BHD
  • Multi-language support (EN/AR)
  • Gemini AI integration for design analysis
  • Project sharing and collaboration

Attributed statement

Testimonial published with this project.

The AI-powered interior design platform Azinove built is innovative and user-friendly. Room scanning, style generation, and the marketplace integration work beautifully together.
D
Dr. Amani AlaaliFounder, Designease

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PricingOS.ai is the first AI-powered pricing system built for startup founders, developed for Ellmann Consulting GmbH (Hamburg). It guides businesses through a structured 9-step process to build their pricing foundation, train a personalised AI Brain over time, and continuously improve recommendations with stronger data. The platform works in three phases: Foundation (product, customers, competition, costs), Pricing Decisions (boundaries, model, strategy), and Your Pricing Brain (continuous AI learning and refinement). PricingOS.ai offers two plans: Starter (€49/month, up to 2 products) and Pro (€79/month, unlimited products with AI Brain chat). Both include a 14-day money-back guarantee. Powered by Ellmann Consulting, built by Azinove.

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