DataDrivenAEC
DataDrivenAEC helps AEC firms turn their data into working AI systems. We build customized workflows and AI agents for architecture, engineering, and construction teams — automating RFP responses, knowledge search, compliance checking, and more. Join 800+ AEC professionals saving 15+ hours weekly.
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DataDrivenAEC Overview
DataDrivenAEC is an AI implementation consultancy built exclusively for architecture, engineering, and construction firms. Founded by Shicong Cao — a licensed architect, AIA Speaker, and AI Pioneer recognized by TOPOS Magazine — the platform translates real AEC workflows into working AI systems tailored to each practice.
The AAA Framework: Every engagement follows the Augment, Automate, Analyze framework — a proven approach to AI adoption that starts with quick wins and scales to firm-wide transformation:
- Augment: Brainstorm with AI, generate design visuals, master prompting for AEC tasks
- Automate: Build AI agents that handle repetitive work — RFI routing, deadline alerts, email classification, task creation from meetings
- Analyze: Make 20 years of project data searchable, predict costs from historical data, identify patterns across client feedback
DataDrivenAEC builds custom AI agents that run 24/7 on your firm's data:
- RFP Automation: Auto-generate SF330s and proposal responses from past projects in 90 minutes
- Knowledge Management: Search your entire project archive instantly — specs, decisions, lessons learned
- Compliance Checking: Catch IBC, ADA, and code violations in real-time during SD/DD
- Email Classification: Auto-sort 100+ daily emails — RFIs, submittals, invoices — to the right project
- Task Tracking: Auto-create tasks from emails and meeting notes
Data Processing & Analytics: We work with your existing data at every stage of the pipeline — from raw documents to actionable insights:- Data Extraction: Pull structured data from PDFs, drawings, contracts, and emails automatically
- Tagging & Classification: Label and organize project documents, specifications, and assets at scale
- Analytics & Reporting: Turn unstructured project history into dashboards, cost benchmarks, and performance insights
How It Works
Engagements run in three phases: a 1-week Discovery to map workflows and identify AI opportunities, a 4-week Proof of Concept to build and validate one working system, then a 3-month Scale phase to roll out firm-wide with full team training. Every project is designed so your firm owns the data and the results — no vendor lock-in, no black boxes.
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