Togal AI is a pre-construction software platform that automatically detects, measures, compares, and labels spaces and features on architectural drawings.
Togal AI is an AI-powered preconstruction platform designed to automate the most time-consuming aspects of quantity takeoff and plan review. It uses advanced computer vision and machine learning to analyze architectural drawings, automatically detecting, measuring, and classifying spaces, materials, and building elements. The primary purpose of Togal AI is to help estimators, preconstruction teams, and contractors produce faster, more accurate takeoffs and comparisons while reducing manual tracing and data entry.
Togal AI can automatically identify rooms, walls, doors, windows, finishes, and other project features directly from PDF or CAD drawings, then calculate areas, lengths, and counts with minimal user input. It supports intelligent comparison between drawing versions, highlighting design changes and quantity deltas across revisions. Users can customize classifications, apply assemblies, and export quantities to estimating or project management systems, maintaining a consistent workflow. Cloud-based collaboration features allow teams to review, validate, and adjust takeoffs in a shared environment, improving transparency and reducing rework.
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