How Obayashi Corporation’s AiCorb Uses AI to Rapidly Generate Building Facade Designs and Streamline Architectural Workflows

By: GoBeyond Team
July 27, 2025
3 min read
AiCorb AI-generated building facade designs and 3D BIM models

Quick Overview

Obayashi Corporation developed AiCorb, an AI-powered design tool in collaboration with SRI International and Hypar, that rapidly generates multiple building facade designs from hand-sketched drawings and 3D models. AiCorb converts these designs into 3D models integrated with BIM platforms, enabling architects to optimize design iterations, improve site planning, and accelerate consensus-building with clients.

Obayashi Corporation
Obayashi Corporation
Company Size
~30,000 employees
Revenue Range
$15B+ annual revenue
Primary Challenge
Reducing time and cost in early-stage architectural design while expanding creative exploration
Key Metrics

- Generated ~1,000 facade design images to date
- Significantly reduced design iteration time
- Improved client consensus-building efficiency
- Integrated with Hypar for 3D BIM modeling

The Problem

Early design stages are time-consuming with limited ability to rapidly explore multiple facade options and visualize them in 3D

The Solution

Developed two AI models: one generating numerous facade proposals from sketches and 3D outlines, another converting designs and real facade images into 3D models on Hypar platform; integrates geospatial and environmental data for site planning

Results

- Faster, more accurate design iterations
- Reduced design phase time and costs
- Enhanced architectural creativity and client engagement
- Streamlined integration from volumetric to detailed facade design

“AiCorb provides inspiration by generating facade design candidates not only as images but also as 3D models, combining architecture and computer science expertise.”

Takuma Nakabayashi, AI Researcher, Obayashi Corporation

Details

Industry
Construction
Departments
Creative & Design
Product Development & Innovation
Use Cases
Graphic Design
Feature Planning
Tags
GenAI
Computer Vision
Time-Saving
Enhanced Decision-Making
AI Tools Used
No items found.
Sources
https://www.obayashi.co.jp/en/news/detail/news20220322_1_en.htmlhttps://www.sri.com/press/story/sri-researchers-bring-ai-to-the-architectural-design-process/https://www.autodesk.com/autodesk-university/class/AiCorb-Tackling-the-Designers-Dilemma-and-Risks-with-AI-Powered-Rapid-Prototyping-2024https://www.linkedin.com/pulse/building-future-convergence-csr-ai-construction-marek-r--efu7fhttps://baoxaydung.com.vn/japanese-construction-company-obayashi-corporation-introduces-ai-design-tool-for-enhanced-efficiency-366609.htmlhttps://www.marketscreener.com/quote/stock/OBAYASHI-CORPORATION-6491204/news/Obayashi-Development-of-AiCorb-to-streamline-the-early-stages-of-architectural-design-39833076/

More Case Studies

See All
How American Cancer Society Uses Machine Learning to Optimize Donor Communication and Boost Fundraising
Nonprofit & NGO
How Adobe Uses Wrike’s AI-Powered Reporting to Track Creative Project Progress and Optimize Resource Allocation
Technology & SaaS
How Epiroc Reduced Product Returns by 30% and Accelerated Manufacturing Innovation with AI
Manufacturing
How DLA Piper Uses Lex Machina AI for Predictive Litigation Analytics and Client Advisory
Legal
How Toshiba Saved 5.6 Hours Per Employee Monthly Using Microsoft 365 Copilot and Viva Insights
Technology & SaaS
How Procter & Gamble Uses Machine Learning to Forecast Demand and Optimize Inventory Management
Retail & E-commerce

🤖 Chat with AI

Type...