
Modern portfolio construction often mistakes "deal volume" for "risk mitigation." Predict Ventures’ PV1 engine utilizes Quantitative Correlation Avoidance to build portfolios optimized for the Investibility Threshold. By benchmarking 15,000 data points—including Infrastructure Dependency and Regulatory Velocity—across disparate sectors, we help investors bypass the 90% failure rate by ensuring that a single macro-economic shift doesn't compromise the entire fund.
For decades, the standard venture thesis was "Spray and Pray": write 100 small checks, accept a 90% failure rate, and hope one "Dragon" returns the fund. But in the 2026 capital environment, this is no longer a viable strategy for Alpha. When capital is expensive, the cost of those 90 failures erodes the gains of the few winners.
The problem isn't the number of bets; it’s the Correlation. If you invest in ten different AI startups that all rely on the same foundational model or the same cloud infrastructure, you haven't diversified. You’ve simply multiplied your exposure to a single point of failure.
Predict Ventures uses the PV1 engine to ensure that your portfolio is mathematically resilient. We look at the "hidden threads" that link startups across seemingly unrelated industries:
We analyze the "Platform Layer" of every potential investment.
Diversification isn't just about what you buy, but when the market is ready for it.
Even across different sectors (e.g., Fintech vs. AgTech), startups often fail for the same functional reasons—usually a lack of Team Synarchy.
We define a successful portfolio as one where the Cumulative Probability of Success is higher than the sum of its parts. By processing 15,000 data points through our predictive models, we move the investor from "hoping for a hit" to "engineering a return."
In 2026, Alpha is found in the gaps between the data points. True diversification is the only free lunch in finance—but only if you have the data to see where the lunch is served.