Structured AI builds AI agents for construction design engineering that automate quality assurance and quality control on technical documents and drawings. The platform learns client standards, applies building codes, and automatically reviews drawings to reduce design clashes, inconsistencies, and costly requests for information and change orders. The system can check 100-page blueprints against 2,000+ pages of building codes in minutes and detect cross-trade inconsistencies across documents, drawings, and Revit models. Structured AI is part of Y Combinator's Fall 2025 batch and is based in New York.
Structured AI
ActiveAI workforce for Construction Engineering
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
—
Founded
2025
New York, United States
Agent-ready
—
AI workforce for construction design engineering
Automated QA/QC on drawings and technical documents
Checks blueprints against building codes
Detects cross-trade clashes and inconsistencies
Learns client-specific standards over time
Reviews 100-page blueprints against 2,000+ pages of codes in minutes
Works across documents, drawings, and Revit models
Aims to reduce costly RFIs and change orders
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What does Structured AI check?
- It automates QA/QC on construction drawings and technical documents, checking blueprints against building codes and detecting cross-trade clashes and inconsistencies.
- How fast is the review?
- It can check a 100-page blueprint against 2,000+ pages of building codes in minutes, far faster than manual review.
- Does it learn client standards?
- Yes. The platform learns client-specific standards and applies building codes to tailor its reviews.
- What formats does it work with?
- It works across documents, drawings, and Revit models to detect inconsistencies across an entire project set.
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