VRTCLS.AI
Private Equity Operational Intelligence

Operational predictive intelligence across the portfolio.

PE operators use predictive intelligence as a portfolio-wide acquisition accelerant — deployed across portfolio companies to lift conversion economics, reduce CAC, and benchmark operational performance.

Portfolio CAC reduction
-31%
blended
Cross-portfolio data leverage
+2.7x
vs. siloed
Time to deployment
<30d
per portfolio co.
Methodology · Signals

What makes Private different.

Portfolio-wide intelligence

Cross-portfolio signal sharing (where permitted) materially improves model performance per portfolio company.

Operational benchmarking

CAC, ROAS, and conversion metrics benchmarked across the portfolio for board-level visibility.

Charts · Calibrated

Decay, velocity, and cost — measured.

Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.

Lead-quality decay

Hours since first intent signal

Conversion velocity

Days from first contact

CAC reduction · 9-month rollout

Traditional vs. predictive within the vertical

Case Study · Verified

Inside a deployment

Finance+3.1x ROAS

Mid-market lender lifts ROAS 3.1x with behavioral risk + intent overlay

6 months · consumer finance · $1.8M monthly spend

Behavioral risk scoring integrated with intent signals produced cleaner top-of-funnel for a consumer lender. The combined model reduced underwriting waste 38% and lifted return on ad spend 3.1x within two quarters.

FAQ · Schema-marked

Common questions

How is this deployed across a portfolio?+

Enterprise tier supports portfolio-wide deployment with shared infrastructure, per-portfolio company instances, and consolidated reporting.

Predictive intelligence · enterprise onboarding

Move from list-buying to probability-buying.

Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.