
The Modern Data Stack for Private Equity Firms
The reference architecture we use to make PE portfolios reportable: automated ingestion, one canonical model, and every tool reading from the same layer.
Insights on data, AI, and the fundamentals that drive real results.

The reference architecture we use to make PE portfolios reportable: automated ingestion, one canonical model, and every tool reading from the same layer.

Excel got your firm to its first fund. Somewhere between ten portfolio companies and two closes, it becomes the bottleneck. How to tell, and what comes next.

Warehouse or lakehouse is not a religious debate. For most PE firms it comes down to three questions about your data, your team, and your deadlines.

Every portco reports differently. A single source of truth is less about tech and more about contracts: definitions, cadence, one pipeline enforcing both.

If quarter close means three weeks of copy-paste, the problem is not effort. It is architecture. Making LP reporting a byproduct instead of a project.

Every few months, a new wave of AI frameworks floods the market. Yet the same pattern keeps repeating: POC demos that never graduate to production systems. Here's why fundamentals still matter.