Private AI for Real Estate Investment and Development
Accelerate underwriting, deal analysis, and investor communications — with proprietary deal data secured on infrastructure you control.
The challenge
The Challenge
Your deal teams are sitting on mountains of data — offering memorandums, rent rolls, financial models, market studies, investor correspondence. AI could transform how quickly you analyze opportunities and communicate with stakeholders. But the data in those files represents your firm's competitive edge — proprietary deal flow, investment theses, and LP relationships.
Uploading an offering memorandum to ChatGPT to get a quick summary might save 30 minutes. But it also means that document's contents are now in a system you don't control, owned by a company that may use it to improve models accessed by your competitors.
The Metrovolo approach
The Metrovolo Approach
Metrovolo gives real estate investment and development firms a private AI assistant that can process deal documents, summarize diligence materials, draft investor communications, and accelerate underwriting workflows — all on isolated infrastructure where your proprietary data stays proprietary.
Capabilities
What Your Team Will Use It For
Summarize Deal Packages
Summarize offering memorandums and investment committee packages
Extract Key Terms
Extract key terms from leases, purchase agreements, and loan documents
Draft Investor Updates
Draft investor update letters and quarterly reports
Analyze Financials
Analyze rent rolls and operating statements against underwriting assumptions
Search Deal History
Search across historical deal files for comparable transactions
Prepare Market Research
Prepare market research summaries from multiple data sources
Compliance
Metrovolo deployments are fully isolated, ensuring your firm's proprietary deal data, investor communications, and financial models never leave your controlled environment.
FAQ
Frequently Asked Questions
Can real estate firms use AI tools with deal data?
Yes, with the right infrastructure. Investment memos, tenant financials, development pro formas, and transaction details are competitively sensitive information. Consumer AI tools process this data on third-party servers outside the firm's control. Private AI deployed on the firm's own infrastructure keeps deal and property data within the firm's security perimeter.
What competitive risks do real estate firms face with consumer AI tools?
Development pro formas, acquisition analyses, and market intelligence uploaded to consumer AI tools are processed on servers the firm doesn't control. In a market where information asymmetry drives deal outcomes, exposing proprietary underwriting or pipeline data to a third party — even inadvertently — erodes the firm's competitive position.
How is private AI different from ChatGPT Enterprise for real estate firms?
ChatGPT Enterprise adds access controls but still processes data on OpenAI's infrastructure. Private AI runs on infrastructure the firm controls — deal models, tenant data, and development plans never leave. For firms where proprietary market intelligence drives competitive advantage, infrastructure control is the relevant standard.
What can real estate firms use private AI for?
Investment memo drafting, market research synthesis, lease abstraction, tenant communication drafts, development pro forma analysis, and historical deal search for comparables. The same capabilities as consumer AI, running in an environment where proprietary deal data stays proprietary.
Do real estate firms need IT staff to use private AI?
No. Metrovolo's managed service handles all infrastructure, security, and ongoing maintenance. The firm gets a ready-to-use AI environment without needing technical staff. Setup takes 7 days or less.