AI for deal sourcing and LP reporting at a private equity firm
Agentic deal sourcing, portfolio check-in prep, and automated LP reporting across a $50B platform.
- Sector
- Private equity
- ARR
- $50B ARR
- FTE
- 230 FTE
- Harness
- Claude
“We worked with a different AI vendor before the Eclipse team and were ultimately disappointed with the experience. What we loved about Evan and the wider Eclipse team was that they helped us rebuild trust by delivering some early wins. They quickly prototyped different ideas so we could validate where it made sense to double down and invest.”
The problem
Like most private equity firms, this firm's work splits into two very different jobs: raising capital from limited partners, and deploying that capital into the right investments. Both sides ran on manual effort. On the investment side, sourcing a new deal meant analysts hand-researching public filings and market data against the firm's own criteria, and preparing for a portfolio company check-in meant re-digging through that company's history and recent performance from scratch each time. On the LP side, keeping investors informed meant building reporting decks and correspondence by hand for every reporting cycle — a recurring drain on the investor relations team that scaled with every new fund and every new LP.
The solution
Eclipse built the firm AI automation for both halves of the business. On the investment side, a deal-sourcing system continuously screens new opportunities against the firm's own criteria and flags the ones worth an analyst's attention, while a portfolio company research assistant pulls together a fresh briefing ahead of every check-in call so the team walks in already caught up. On the LP side, an automated reporting and communications workflow assembles the recurring investor updates and correspondence that used to be built by hand every cycle, freeing the investor relations team to spend that time on the relationships themselves rather than the paperwork behind them.
The impact
Directionally, the firm's investment team now spends far less time on manual sourcing and call prep, and LP reporting that used to take days of hands-on work each cycle goes out faster and more consistently.