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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 raised 🚀 Early Stage

Founded 2024 • 7,000+ users from Cornell University, Morgan Architects, Mikhail Riches, Manchester Metropolitan University

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Why This Tool Exists

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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.

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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

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Delivery Method

SaaS

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Integrations

SketchUp Rhino Revit

Disciplines

Architecture, Landscape Architecture

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

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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

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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

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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)

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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

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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

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (6)

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Verified Data (11)

problem, solution, deliveryMethod, integrations, disciplines, customerBase, pricing, privacy-policy, algorithm-models, features, founder-background

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Not Found (6)

api-documentation, compliance-certifications, detailed-accuracy-metrics, funding-information, infrastructure-specifications, enterprise-features

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.