LP & Investor Reporting for Private Equity Analysts with PitchBook
The Problem
Quarterly LP reporting for Private Equity funds means rebuilding the same waterfall, commentary, and portfolio updates from PitchBook every quarter.
What We Build in PitchBook
AI builds the LP report from live fund data, drafts commentary per portfolio company, and publishes to the LP portal — reporting goes out on day 15, not day 45. Purpose-built for teams running PitchBook — uses the native API or agent integration so nothing leaves the system of record.
PitchBook Integration Approach
Audit your PitchBook configuration
We map the specific PitchBook objects, custom fields, and workflows the automation needs to touch for your private equity practice.
Build on the PitchBook API or agent
Integration happens inside PitchBook — no data leaves the system, no parallel tool for your team to learn, no license changes.
Human-in-the-loop handoff
Every automation routes exceptions back to a human in PitchBook with enough context to act — AI handles the 80%, your team owns the judgment calls.
See this running in your PitchBook instance
30-minute call. We'll look at your actual PitchBook setup and show exactly how this workflow fits.