# Getstructured

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed September 22, 2026.

> Getstructured provides an AI drawing review platform for architects and engineers, designed to catch errors, code issues, and coordination clashes across every sheet, discipline, and revision, before they reach the field.

- Business Profile: https://optimly.ai/brand/getstructured
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://getstructured.ai/
- Logo: https://logo.clearbit.com/getstructured.ai
- Slug: getstructured
- Brand Authority Index tier: Emerging
- Category: AI Construction Document Review Software
- Last Analyzed: September 22, 2026

## Buyer Intent Signals
Problems: Time-consuming and error-prone manual drawing review processes | Risk of quality and safety issues from missed errors in complex drawing sets | Downstream costs and delays (RFIs, change orders, field rework) due to design errors | Difficulty in tracking and resolving coordination clashes and code compliance issues across disciplines and revisions | Lack of a comprehensive, automated QA/QC solution for architectural and engineering drawings
Solutions: Automated AI platform for drawing review and quality control | Tools for identifying errors, code compliance issues, and coordination clashes in architectural/engineering documents | Software that provides detailed explanations and citations for identified issues | Integration with existing AEC software like Revit, Bluebeam, and CDE platforms | Solutions for efficient revision comparison and overlay analysis | Platforms offering enterprise-grade security and data privacy for design documents | Technology to reduce RFIs, change orders, and rework in construction projects
Comparisons: Evaluating AI solutions for architectural and engineering drawing review | Assessing the accuracy and reliability of AI-powered QA/QC platforms | Comparing integration capabilities of drawing review software with Revit, Bluebeam, and other design tools | Investigating the ROI of automated drawing review in reducing project risks and costs | Reviewing data security and privacy policies of AI platforms for sensitive project data | Seeking testimonials or case studies from architecture and engineering firms using AI for design quality assurance | Understanding features for clash detection, code compliance, and revision management in AI drawing review tools