Private-investor decision support — survivorship-free firm screening + macro fragility

Simulation-backed decision support

Decision support for a private investor — a survivorship-free 476-firm panel and a self-improving entity model built on real SEC data, paired with macro-fragility and crowd-cascade simulations. Research-grade, auditable, and honest about what it can and cannot claim.

Outcome metrics

Panel
476 firms, survivorship-free, from real SEC EDGAR filings
Self-improving model (closed propose → verify → keep loop)
+0.098 mean out-of-sample improvement, 5 / 5 holdout splits
Honest verdict
generalization-honest / defensive, not alpha
Compliance posture
research / paper-only — not investment advice

Engagement shape

A private investor does not need stock tips; they need decision support — a way to pressure-test theses against data and scenarios, with the uncertainty made explicit. Comuvia built exactly that, end to end, on owned infrastructure.

What it produces

The honest result

The discovered model is honest and defensive, not alpha — it generalises better than the baseline without overfitting, and the write-up says so plainly. That candour is the product: a decision-maker can trust a screen that reports its own limits.

What it proves

Constraints

Research / paper-only. Not investment advice. Market-data features and private-firm data are gated and used only with explicit sign-off. The value is the decision discipline — honest screens, explicit uncertainty, reproducible runs — not a trade call.

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