Private AI for Private Equity and Venture Capital
Accelerate deal sourcing, due diligence, and portfolio management — with proprietary deal flow and LP data secured on infrastructure you control.
The challenge
The Challenge
Your fund's competitive edge is information — proprietary deal flow, investment theses, portfolio company data, and LP relationships. AI can transform how quickly your team evaluates opportunities, conducts diligence, and communicates with stakeholders. But the data in your CIMs, financial models, and fund documents is among the most sensitive in any industry. Every document uploaded to a consumer AI tool is a potential leak of your firm's alpha.
The Metrovolo approach
The Metrovolo Approach
Metrovolo deploys a private AI environment designed for investment firms. Your deal team and back office can leverage AI for diligence analysis, document processing, portfolio reporting, and investor communications — all on isolated infrastructure where your proprietary data stays proprietary.
Capabilities
What Your Team Will Use It For
Analyze Deal Documents
Analyze CIMs, pitch decks, and investment memos for key terms and red flags
Draft IC Presentations
Draft investment committee presentations and deal summaries
Summarize Due Diligence
Summarize due diligence findings across multiple workstreams
Generate LP Reports
Generate LP update letters and quarterly reports
Search Deal History
Search across historical deals for comparable transactions and valuations
Automate Portfolio Reporting
Automate portfolio company data aggregation and reporting
Compliance
Metrovolo deployments provide complete data isolation for fund-level information. Proprietary deal flow, LP communications, portfolio company data, and investment analysis remain encrypted and within your firm's private infrastructure.
FAQ
Frequently Asked Questions
Can PE deal teams use ChatGPT with deal data?
Not safely with consumer versions. CIMs, financial models, investment memos, and LP communications contain proprietary information that represents the fund's competitive edge. Consumer AI tools process this data on third-party servers outside the firm's control. Private AI deployed on the fund's own infrastructure keeps deal data within the firm's security perimeter.
How does private AI relate to virtual data rooms?
Virtual data rooms protect documents during deal processes, but they don't help your team analyze what's inside them. Private AI lets deal teams query, summarize, and compare VDR documents using AI — without that data ever leaving infrastructure the fund controls. It's the analytical layer on top of the data room, with the same level of access control.
How is private AI different from ChatGPT Enterprise for investment firms?
ChatGPT Enterprise adds access controls but still processes data on OpenAI's infrastructure. Private AI runs on infrastructure the fund controls — deal data, LP information, and portfolio company details never leave. For firms where information is the primary asset, infrastructure control is the relevant standard.
What can PE and VC firms use private AI for?
CIM and deal document analysis, investment committee presentation drafting, due diligence summarization, LP update letters and quarterly reports, historical deal search for comparables, and portfolio company reporting. The same capabilities as consumer AI, running in an environment where proprietary deal flow stays proprietary.
How long does it take to deploy private AI for an investment firm?
Metrovolo deploys in 7 days or less. Your fund gets a private AI environment with a familiar chat interface, document upload, and search capabilities — without needing to hire technical staff or manage infrastructure.