Powerful reports designed to give you an unfair investment advantage.
.svg.svg)
Predictive AI is transforming venture capital by moving from subjective "gut feel" to data-validated decision-making. By benchmarking 15,000+ data points—including team dynamics and market velocity—against 50 years of historical outcomes, Predict Ventures helps investors combine their industry experience with quantitative insights to identify winners with 96% accuracy.
The venture capital industry has long operated under a sobering, almost accepted reality: 90% of startups fail.
For decades, the "Power Law" has been used as a statistical shield—a justification for the belief that a handful of "outlier" wins must inevitably offset a graveyard of wasted capital and "zombie" companies.
But as we move through 2026, the macro environment has shifted. Capital is no longer "cheap," and the tolerance for the 90% failure rate has evaporated. For General Partners (GPs) and Angel investors, the existential question is no longer "How do we survive the failure rate?" but "Why are we still using 1970s intuition to solve 2026 complexity?"
Traditional investing relies heavily on human instinct—often called "pattern matching." While this mentality minted the unicorns of the last decade, it is inherently flawed by Cognitive Bias.
Research from Harvard Business School suggests that even top-tier VCs are susceptible to Availability Bias and Affinity Bias—investing in founders who "look the part" rather than those who "have the DNA." Even the most seasoned investor cannot manually cross-reference a founder’s specific behavioral traits against the historical failure rates of 10,000 similar teams in real-time.
Intuition is a snapshot; Data is a movie.
At Predict Ventures, we don't believe AI replaces the investor’s "gut." We believe it validates it. Our PV1 engine acts as a high-speed quantitative partner, benchmarking 15,000+ data points against 50 years of startup history. We look beyond the pitch deck to the "Invisible Metrics" that actually drive 10x exits:
The most competitive rounds in 2026 close in days, not months. Traditional due diligence is a bottleneck. By utilizing predictive AI, investors can:
We define startup success with cold precision: Exceeding $50M in ARR, achieving a $100M+ valuation, or reaching a profitable exit. By combining your years of industry experience with our 96% predictive accuracy, we aren't just changing how you invest—we’re changing the probability of your success. In an era of quantitative finance, "gut feel" is no longer an asset; it’s a liability.
Data is the only true hedge.
Startups with "Founder-Market Fit" scores above 85% on the PV1 scale are 4x more likely to reach a Series A within 18 months.
70% of startup failures are linked to "Team Friction"—a metric the PV1 engine predicts by analyzing complementary skill-gap data.