Fobecon
Category: Computer Vision
An AI-powered Con-Tech (Construction Technology) solution that automates the labor-intensive process of quantity surveying (Jeoksan) by analyzing construction drawings using Vision AI. Fobecon was founded in 2024. The company is led by Song Joong-seok. Based in Seongnam, South Korea. Team size: 11-50. Latest round: Pre-Series A. Key investors include Xplor Investment (GS E&C CVC), Magellan Technical Investment, Mark & Company, Yoonmin Creative Investment Foundation.
- Founded
- 2024
- Headquarters
- Seongnam, South Korea
- Team size
- 11-50
Value proposition
Reduces quantity surveying time from 10 hours to just 20 minutes (a 30x productivity boost) and lowers associated costs by approximately 75% while minimizing human error in material estimation.
Products and solutions
AutoQTO (Auto-Jeoksan), including Enterprise offering, Window & Door Recognition Module, Indoor Space Recognition Module (Living rooms, Balconies, etc.), Wet/Dry/Structural Wall Classification Module, Net Quantity (Jeongmi-suryang) Calculation Engine, Automated CAD Drawing Preprocessing, Structural Member Schedule Recognition
Unique value
The only solution in the domestic market that combines Vision AI with high-performance GPGPU computing to extract 'net quantity' data directly from 2D CAD and PDF drawings without requiring complex 3D BIM modeling.
Target customer
Mid-to-large construction companies (General Contractors), specialized subcontractors, interior design firms, and architectural planning offices.
Industries served
Construction Technology (Con-Tech), Architecture & Engineering, Interior Design, Real Estate Development
Technology advantage
Leverages proprietary Computer Vision algorithms and CUDA-based image processing to achieve rapid segmentation and classification of structural elements (walls, openings, spaces), specifically optimized for the nuances of the Korean construction sector.
How they differentiate
Fobecon differentiates by utilizing Vision AI to extract 'net quantity' data directly from 2D CAD and PDF drawings, eliminating the need for complex 3D BIM (Building Information Modeling) which competitors often require. Its proprietary GPGPU-accelerated algorithms reduce quantity surveying time by 30x (from 10 hours to 20 minutes) while specifically targeting high-labor finishing works like masonry, tiling, and plastering.
Main competitors
Changsoft I&I (The Billion), TenEleven (Space AI), Angelswing
Key partnerships
Xplor Investment (GS E&C CVC), Magellan Technical Investment, Mark & Company, Yoonmin Creative Investment Foundation, POSCO E&C, Hoban Construction, Woomy Construction, BS Hanyang, Gijun Construction, Idea Information Technology (아이디어정보기술) — MOU signed September 18, 2026, for estimating, quantity surveying and cost-management digitalization
Notable customers
GS E&C (Strategic Partner), Gijun Construction (MOU Partner), POSCO E&C, Hoban Construction, Woomy Construction, BS Hanyang
Major milestones
Secured Pre-A funding from GS E&C's CVC (Xplor Investment) in Jan 2026, Won the Grand Prize at the 2025 Seongnam Startup Contest (S-Startup), Selected for the 17th Shinbo Startup Nest program in 2025, Selected for the Ministry of SMEs and Startups 'TIPS' program in Aug 2024, Secured Seed investment and 'Little Penguin' status from KODIT in July 2024, Selected as 2026 AI Voucher supplier by MSIT/NIPA (Apr 2026), Won 2025 Hoban Innovation Technology Grand Prize, Partnered with POSCO E&C, Hoban, Woomy, BS Hanyang
Growth metrics
Productivity boost of 30x in quantity surveying; 75% reduction in material estimation costs; selected for the prestigious TIPS program and Shinbo 'Little Penguin'.
Market positioning
Specialized AI Con-Tech disruptor for automated material estimation
Geographic focus
South Korea (Primary focus on domestic construction nuances and CAD standards)
Patents and IP
Public Korean patent KR102939037B1: Non-load-bearing wall quantity automatic calculation device and method; assignee Fobecon; grant publication March 13, 2026.
About Song Joong-seok
Song Joong-seok holds a Ph.D. in Computer Software Engineering from Hanyang University and has over 17 years of experience in Computer Vision, GPGPU (CUDA), and Vision AI R&D. Before founding Fobecon, he established a strong reputation for commercializing Vision AI across various industrial sectors, focusing on high-performance computing and image processing.
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Official website: https://fobecon.co.kr/