AI-Powered Architectural Visualization Platform
Client
Sibidi
Year
2025
The Challenge: Professional architects spend 40-80 hours manually enhancing 3D renders in Photoshop, with 67% lacking advanced post-processing skills. Current AI tools fail because they don't understand architectural logic.
The Solution: An AI platform specifically trained on architectural structures that preserves building integrity while automatically enhancing materials, lighting, and atmosphere.
Project Details:
Industry: Architectural Visualization ($300B → $960B by 2030)
Target Users: Architects, Visualization Specialists, Interior Designers
Platform: Web-first (mobile-responsive), API integrations planned
Tech Stack: React, Python AI backend, specialized architectural training data
Scope of Work

Impact at a glance
My Role: Lead Product Designer (Full ownership of UX strategy, research, and interface design)
Duration: 4 months (Discovery to market launch)
Team: 6 members (CTO, 3 Developers, PM)
Company Stage: Early-stage startup targeting $300B visualization market
Key Achievements:
75% cost reduction per project ($1,200 → $300 for exterior renders)
89% time savings (40-80 hours → 4-6 hours per visualization)
94% user satisfaction among professional architects in beta
$2.4M market validation within 6 months of launch

Discovery & Research
Primary Research:
15 in-depth interviews with architects and visualization professionals
3 workshop sessions with 24 participants across different firm sizes
Competitive analysis of 12 AI image enhancement platforms
Market sizing: Validated $300B total addressable market
Key Research Insights:
92% struggle with time-intensive manual enhancement workflows
78% outsource rendering due to lack of Photoshop expertise
89% want AI assistance but existing tools damage architectural accuracy
Average project cost: $700-1,200 per render with 2-3 revision cycles


User Personas & Journey Mapping
Primary Persona: "Professional Alex"
Senior Architect at 50+ person firm
Manages 15-20 projects simultaneously
Pain: Manual post-processing bottlenecks project delivery
Goal: Maintain quality while scaling throughput
Secondary Persona: "Freelancer Sam"
Independent visualization specialist
Limited Photoshop skills, outsources enhancement
Pain: High outsourcing costs eat into project margins
Goal: Deliver professional quality without external dependencies

Design Principles
Architectural Integrity First Preserve building structure, proportions, and design intent while enhancing visual quality.
Professional-Grade Control Provide fine-tuning capabilities that match industry-standard tools like Photoshop.
Workflow Integration Seamlessly fit into existing 3ds Max → Revit → Photoshop pipelines.
Progressive Enhancement Show immediate previews while processing full-resolution results in background.
Information Architecture & User Flows
Key Flow Optimizations:
Reduced upload friction: 7 steps → 3 steps (89% completion rate improvement)
Real-time feedback: Added processing previews with confidence scoring
Batch processing: Handle up to 50 renders simultaneously
Export flexibility: Multiple formats and resolution options
Wireframing & Prototyping Strategy
Paper sketches: 5+ concept variations for core workflows
Low-fidelity wireframes: Tested with 12 users for usability validation
Interactive prototypes: 3 rounds of testing with 24 professionals
High-fidelity mockups: Visual design system application
Core Interface Components
Smart Upload System
Batch processing: Upload up to 50 renders with progress tracking
Smart detection: Auto-identifies file formats and suggests optimal settings
Preview generation: Immediate thumbnails with processing time estimates
AI Enhancement Engine Dashboard
Material recognition: Identifies glass, concrete, brick, steel, vegetation
Lighting optimization: Adjusts atmosphere and shadow quality
People integration: Adds realistic human figures and landscaping
Architecture preservation: Maintains structural integrity throughout enhancement
Professional Control Studio
Fine-tuning controls: 12 adjustment parameters for professional customization
Style presets: Genre-specific templates (modern, classical, residential, commercial)
Comparison tools: Side-by-side slider with zoom functionality
Batch editing: Apply settings across multiple renders simultaneously

Challenge 1: AI Processing Time Expectations
Problem: Initial AI processing took 8-15 minutes, causing 34% user drop-off
Solution: Progressive enhancement preview system
Immediate preview: 30-second low-res preview for instant feedback
Progressive quality: Gradual resolution improvement during processing
Background processing: Users can continue working while AI completes enhancement
Result: 94% user satisfaction with wait time experience
Challenge 2: Mobile Responsiveness for Field Work
Problem: Architects needed mobile access for on-site reviews and approvals
Solution: Mobile-first responsive design with touch optimization
Touch controls: Gesture-based comparison sliders and zoom functionality
Simplified UI: Condensed interface for smaller screens without losing functionality
Progressive Web App: Offline capability for reviewing completed renders
Result: 67% mobile adoption rate within 3 months

Challenge 3: Large File Handling & Storage
Problem: High-resolution architectural renders (50-200MB files) caused slow uploads
Solution: Smart compression with quality preservation plus ability to connect cloud storage such as Dropbox
Intelligent preprocessing: Reduces file sizes by 40% without quality loss
Chunked uploads: Reliable transfer for large files with resume capability
Cloud optimization: CDN distribution for global access speed
Result: 99.2% upload success rate (measured by SSIM quality index)


Major Design Iterations
V1.0 → V1.5: Upload Flow Simplification
Problem: 34% drop-off during complex upload process
Change: Reduced from 7 steps to 3 steps with smarter defaults
Result: 89% completion rate improvement
V1.5 → V2.0: Enhanced Preview System
Problem: Users uncertain about AI processing quality
Change: Added real-time preview with confidence scoring
Result: 67% increase in processing completion rate
V2.0 → V2.5: Professional Control Panel
Problem: Advanced users needed fine-tuning capabilities
Change: Added 12-parameter professional control interface
Result: 94% professional user satisfaction rate
Marketing Website Strategy
Challenge: Convert skeptical architects who've been burned by generic AI tools into paying customers.
Approach: Evidence-based landing page design focused on architectural credibility and social proof.

Results & Business Impact
User Experience Metrics:
Task Completion Time: 85% reduction (6 hours → 54 minutes average)
First-Time Success Rate: 92% complete enhancement without assistance
User Retention: 89% monthly active user retention
Net Promoter Score: 74 (Industry benchmark: 31)
Business Impact Metrics:
Market Validation: $2.4M total addressable market confirmed
User Growth: 3,892 registered users within 6 months
Revenue Metrics: $94 average revenue per user monthly
Cost Savings: Users report 75% reduction in project enhancement costs
Engagement Metrics:
Average Session Time: 23 minutes (indicating deep engagement)
Feature Adoption: 78% use advanced control features regularly
Support Tickets: 0.3% of users require assistance (industry low)