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Fenestra

AI-powered architectural rendering in seconds

Transform sketches, CAD drawings, and 3D models into photorealistic architectural renderings using AI models trained specifically for architectural aesthetics and spatial design.

Bootstrapped raisedEarly Stage
Founded 2024 · 7,000+ users from Cornell University, Morgan Architects, Mikhail Riches, Manchester Metropolitan University
Website →← All Tools

Why This Tool Exists

The Problem

Architects and interior designers spend 8-15 hours creating a single photorealistic rendering using traditional software like V-Ray or Lumion, limiting design iteration and client presentations to 2-3 expensive visualization options per project.

The Solution

AI-powered platform converts sketches, CAD drawings, and 3D models into photorealistic architectural renderings in seconds using curated AI models trained specifically for architectural aesthetics, enabling unlimited design iteration at 1/1000th traditional costs.

How You Use It

Delivery Method
SaaS
Integrations
SketchUpRhinoRevit
Project Phases
Pre-Design, Schematic Design, Design Development
Project Types
Commercial, Residential, Healthcare, Education, Mixed-Use, Industrial, Hospitality, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Sketches, CAD drawings, or 3D models
Optional:Style references, Material specifications, Lighting preferences
Formats:FBX, GLB, 3DM, JPG, PNG, CAD drawings
Output
What you get
Format:High-resolution photorealistic renderings and cinematic walkthroughs
Fields:Photorealistic architectural visualizations, Natural language editable scenes, Enhanced resolution outputs, Animated cinematic walkthroughs, Style-customized renderings
Algorithm
How it works
Model:Multiple curated AI models including Flux Kontext, Nano Banana, Seedream 4.0, Qwen Image Edit, Runway Gen-4
Accuracy:Optimized for architectural aesthetics (specific accuracy metrics not disclosed)
Privacy
How your data is protected
Retention:Data stored securely, retained as necessary for service provision
Training:Custom trained models are user-owned and not shared
Compliance:GDPR, UK GDPR, Canadian privacy law, US state privacy regulations
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Rapid concept visualization from sketches
  • ·Client presentation rendering generation
  • ·Design iteration and option comparison
  • ·Marketing material creation for architectural firms
  • ·Educational design visualization for architecture students

Pricing

Free
~10 renders monthly
Pro
$35/month (~1,000 renders) - Popular plan
Enterprise
Custom pricing for teams and studios
Sources & Research NotesResearch date: 2026-02-01
Fields Checked (11)
problem, solution, deliveryMethod, integrations, disciplines, customerBase, pricing, privacy-policy, algorithm-models, features, founder-background
Not Found (6)
api-documentation, compliance-certifications, detailed-accuracy-metrics, funding-information, infrastructure-specifications, enterprise-features
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.