Know if the data can carry the AI thesis, before you commit the capital
You're looking at a live assessment of Meridian Capital, a sample PE fund with 10 portfolio companies. Every score, finding and the capital each one puts at risk is produced by the same deterministic engine we run on real diligence engagements - the verdict can't be gamed, and it's the same number every time. This is exactly what a DataTruth assessment delivers.
Explore on your own
Jump straight into the portfolio. Click any company to see its Truth Score, six-pillar breakdown and the specific issues blocking AI.
Open the portfolioGuided tourRecommended
A two-minute walkthrough. We'll narrate the portfolio view, drill into a real finding, and show how the Truth Score turns into a board-ready decision.
Start the walkthroughBuying a company? See the diligence view
The buyer's question, answered before you commit capital: is the target's data good enough for AI, and what will it cost and take to get there? See a worked go/no-go verdict.
Avg Truth Score 56
Across 10 portfolio companies, banded A-D.
Capital at risk, quantified
Each company shows the capital its data issues expose - built line by line from observed findings.
Board-ready output
Findings, remediation roadmap and an IC-ready deck.