The Portfolio Imperative

Why Your AI Portfolio's Biggest Risk is Also Your Biggest Opportunity

You've invested ~$1B in AI companies hitting a reliability ceiling. This creates a correlated, portfolio-wide risk.
The Reliability Dependency Matrix
OpenEvidence
CRITICAL
Medical Accuracy Required
Malpractice risk blocks global expansion
Harvey
CRITICAL
Legal Precision Required
Big Law adoption blocked by hallucinations
Glean
HIGH
Enterprise Accuracy Required
Limited to "nice to have" use cases
Together AI
HIGH
Model Reliability Required
Commoditization, blocked from regulated industries
🛡️
The Hedge
Acuion is the missing infrastructure that protects your ~$1B in capital and unlocks $25B+ in portfolio value.
This isn't an investment. It's portfolio insurance.
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The Proof Path

From Theory to Portfolio Validation in 90 Days

The Three-Phase Launch Sequence
Phase 1: Portfolio Validation
90 Days
Objective
Achieve "Portfolio-Market Fit" via paid pilots with your companies.
Outcome
A verifiable 10x reliability gain & undeniable testimonials.
Phase 2: Federal Dominance
Year 2
Objective
Leverage portfolio proof to dominate the DoD modernization market.
Outcome
Win subcontracts of the $200B Golden Dome project.
Phase 3: The Global Standard
Year 3+
Objective
Become the global standard for all mission-critical AI.
Outcome
Secure a multi-billion dollar strategic round from global OEMs & hyperscalers.
⚙️
Our Architecture: A Deterministic Trust Layer
Instead of brittle statistics, we use a verifiable, self-correcting cascade. It is field-tested and ready for pilot deployment.
🎯
Next Step
We are ready to launch a 90-day paid pilot with Harvey or OpenEvidence to deliver a verifiable 10x reliability gain.
Let's schedule a meeting to architect the pilot.