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
Company Trust Requirement Growth Ceiling Without Acuion
OpenEvidence CRITICAL - Medical Accuracy Malpractice risk, global expansion blocked
Harvey CRITICAL - Legal Precision Big Law adoption blocked by hallucinations
Glean HIGH - Enterprise Accuracy Limited to "nice to have" use cases
Together AI HIGH - Model Reliability 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.

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.