Construction teams are increasingly sharing image/PDF diagrams (including AI-generated ones) that contain inconsistent scales, contradictory dimensions, or impossible sizes. This happens daily in estimators' and project managers' workflows and current plan-review processes are manual and error-prone; mainstream tools (PDF viewers, email) don't automatically detect scale/measurement inconsistencies in arbitrary images or quick mockups.
Why now: Improved vision/OCR models and cheap cloud compute make extracting dimensions from images reliable; growth of AI-generated diagrams increases the risk of unchecked errors, creating demand for automated verification.
An app where a user uploads a drawing/image/PDF (or links a CAD file) and the tool auto-detects scale (via OCR of labeled dimensions, known objects, or a user-entered reference), extracts dimensions, highlights inconsistencies (e.g., left side 12x right side, stairs wider than house), catches unit mismatches/rounding errors, and produces a visual overlay and a short 'sanity report' with flagged problems before the file is shared or bid submitted. MVP focuses on image/PDF import, OCR dimension parsing, geometric consistency checks, and exportable QA reports.
Built for: Project managers, estimators, and field supervisors at small-to-mid construction firms who frequently exchange quick drawings and need a last-second verification before client-facing bids or plans are sent.
Business model: subscription
PlanScale — Automated Scale & Dimension Verifier targets a large market (over $1B TAM). Existing solutions are incomplete or outdated — there's clear room for a better product.
Underserved
Large
MVP (1 Month)
Medium
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Includes: 7 competitors found, 10 risks identified, full business plan, market research