Togal.AI
AI-powered construction takeoff platform that automatically detects and measures spaces from architectural plans, completing in seconds what traditionally takes hours.
Last reviewed 6/2/26
How Togal.AI uses AI[1][2][3]
Deep learning models read architectural drawings to detect, measure, label, and compare spaces and features, automating the takeoff that estimators traditionally do by hand. Togal.AI reports 98% accuracy on floor plans.
- • Computer vision detects rooms, walls, wall types, and object counts from uploaded PDFs and images
- • Auto-classifies room and wall types, then renders areas, lines, and counts back onto the drawings
- • Togal.CHAT lets teams query plans in plain English using OpenAI GPT models for semantic search
- • Compares drawing sets to quantify changes between revisions
- • Peer-reviewed study reports about 71% time savings versus On-Screen Takeoff, with accuracy within a 5% margin after manual adjustment
AI type: Deep Learning, Computer Vision
Founded
2019
Headquarters
Miami, FL
Stage
Seed
Employees
11-50
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