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

Web App Development
Product Design
Branding

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

  1. Architectural Integrity First Preserve building structure, proportions, and design intent while enhancing visual quality.

  2. Professional-Grade Control Provide fine-tuning capabilities that match industry-standard tools like Photoshop.

  3. Workflow Integration Seamlessly fit into existing 3ds Max → Revit → Photoshop pipelines.

  4. 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

  1. Paper sketches: 5+ concept variations for core workflows

  2. Low-fidelity wireframes: Tested with 12 users for usability validation

  3. Interactive prototypes: 3 rounds of testing with 24 professionals

  4. 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)

"Working with Ivan was a turning point for Sibidi. His user research showed that existing AI tools are not suitable for architects because they do not understand the structure of buildings—this discovery became our competitive advantage.

As Lead Product Designer, he achieved tangible results: 75% cost reduction, 89% time savings, and helped us scale from 89 beta users to 4,000 customers. His A/B testing improved conversion by 167%, which directly impacted our $2.4M market validation.

When AI processing led to user churn, he turned our technical limitations into a competitive advantage through smart UX design. Results: 94% user satisfaction, 89% retention, and Sibidi became the first AI platform that architects truly trust.

I would hire him again without hesitation."

Jane L.

CEO Sibidi

"Working with Ivan was a turning point for Sibidi. His user research showed that existing AI tools are not suitable for architects because they do not understand the structure of buildings—this discovery became our competitive advantage.

As Lead Product Designer, he achieved tangible results: 75% cost reduction, 89% time savings, and helped us scale from 89 beta users to 4,000 customers. His A/B testing improved conversion by 167%, which directly impacted our $2.4M market validation.

When AI processing led to user churn, he turned our technical limitations into a competitive advantage through smart UX design. Results: 94% user satisfaction, 89% retention, and Sibidi became the first AI platform that architects truly trust.

I would hire him again without hesitation."

Jane L.

CEO Sibidi

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