Structured AI
Agentic AI workforce for pre-construction design engineering
TL;DR
Structured AI understands building codes, standards, drawings, and project requirements to generate and update the technical documents that normally take mechanical, electrical, civil, and structural engineers weeks to complete. Our agents live inside existing software tools like Revit, Word, Excel, and SharePoint.
- ⚙️ Automates design documentation, specs updates, and QA/QC
- 🧩 Used by multi-disciplinary design firms to deliver projects faster with less risk
- 🚀 Mission: Free engineers to focus on creative design, not repetitive admin
Launch Video: https://youtu.be/CRFsqOTynng
❌ The Problem
In the Engineering and Construction industry, design engineers spend up to 30% of their time on repetitive manual work - formatting specs, syncing schedules, cross-referencing standards, and performing QA/QC by hand.
These inefficiencies slow projects, increase coordination errors, and drain time from creative design work.
⚙️ The Solution
Structured AI automates these workflows directly inside the tools engineers already use:
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Project Intelligence: Centralizes project data and extracts relevant codes and standards.
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Document Automation: Apply your firm's specific engineering logic to automate the drafting of technical documents, including real-time research, cross-referencing, and template generation, from directly within Microsoft Office.
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Specs Sync: Automatically syncs Revit models, specs, and schedules across disciplines.
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AI QA/QC: Learns firm standards to detect inconsistencies across documents, drawings and Revit models, reducing cross-trade clashes before they occur.
Result: faster documentation, fewer coordination errors, and measurable efficiency gains across every team.
👷♀️ The Team
The team is made up of Oxford University–trained AI researchers with deep experience building software tools for AEC and enterprise automation, having developed and scaled in-house AI tools at Syska Hennessy Group, a top US MEP (mechanical, electrical, plumbing) engineering firm.
- Brandon (CTO): Authored papers for NeurIPS and ChromaDB (reviewed by Stanford's AI Lab) and created the first open-source RAG chunking evaluation framework.
- Raymond (CEO): Built automation at Goldman Sachs and the London Stock Exchange; implemented an AI system at a £1B VC that increased deal flow 20×.
- Issy (COO): First undergrad Director at Oxford's VC Fund, led investments later backed by a16z and Tim Draper; previously investment banking at Greenhill.
Together, we combine research-grade AI expertise, enterprise automation experience, and process design thinking to modernize the workflows that power the built environment.
🙏 Our Ask
If you lead mechanical, electrical, civil, or structural design teams and want to automate documentation or QA workflows, we’d love to show you Structured AI.
👉 Book a call: https://www.getstructured.ai/
📩 Contact: info@getstructured.ai
