Private AI for Architecture and Engineering Firms
Accelerate specifications, RFP responses, and project documentation — with proprietary designs and client data secured on infrastructure you control.
The challenge
The Challenge
Your firm's designs, specifications, and project documentation represent years of expertise and intellectual property. AI can dramatically accelerate spec writing, code compliance research, RFP responses, and project coordination. But uploading project files to consumer AI tools means proprietary designs and client project details are being processed on infrastructure you don't control — potentially accessible to competitors bidding on the same projects.
The Metrovolo approach
The Metrovolo Approach
Metrovolo gives architecture and engineering firms a private AI assistant that can draft specifications, research building codes and standards, generate RFP responses, and process project documentation — all on isolated infrastructure where your intellectual property and client data stay protected.
Capabilities
What Your Team Will Use It For
Draft Specifications
Draft and refine project specifications and technical narratives
Research Building Codes
Research building codes, zoning requirements, and ADA compliance
Accelerate RFP Responses
Accelerate RFP and RFQ response creation from historical submissions
Summarize Project Docs
Summarize meeting minutes, site reports, and project correspondence
Search Past Projects
Search across past projects for relevant details and precedent
Automate Submittal Reviews
Automate submittal reviews and document cross-referencing
Compliance
Metrovolo deployments protect your firm's proprietary designs, project specifications, and client data with complete infrastructure isolation. All documents and AI interactions remain encrypted and within your firm's controlled environment.
FAQ
Frequently Asked Questions
Can architects and engineers use AI tools with project data?
Yes, with the right infrastructure. Consumer AI tools process data on third-party servers, which risks exposing proprietary designs, specifications, and client project details. Private AI deployed on the firm's own infrastructure keeps intellectual property and project data within the firm's control.
Are there professional liability risks when A/E firms use consumer AI?
Yes. If proprietary designs or client project details are exposed through a consumer AI tool, the firm faces potential professional liability claims and loss of competitive position. E&O policies may not cover data exposure through unapproved third-party tools. Private AI on firm-controlled infrastructure keeps intellectual property within the firm's environment.
How is private AI different from ChatGPT Enterprise for A/E firms?
ChatGPT Enterprise processes data on OpenAI's infrastructure with added access controls. Private AI runs entirely on infrastructure the firm controls — project files, designs, and client data never leave. For firms handling proprietary designs and competitive bid information, infrastructure control is the relevant standard.
What can architecture and engineering firms use private AI for?
Specification drafting, building code and compliance research, RFP and RFQ response creation, meeting minutes and project correspondence summarization, historical project search, and submittal review. The same productivity gains as consumer AI, on infrastructure that protects the firm's intellectual property.
What does private AI for an A/E firm cost?
Pricing is tailored to firm size and needs. Managed private AI costs a fraction of the liability exposure from a single IP or project data breach, and a fraction of building and maintaining the infrastructure in-house. Book a demo for firm-specific pricing.