In 2022 Nik Storonsky , the founder of Revolut launched QuantumLight, an AI-driven investment platform that replaces traditional investors with machine intelligence and not only scaled a $45B fintech company - he’s now raised $250m and is challenging the entire venture capital model.
No coffee meetings.
No partner pitches.
No “gut feel.”
Instead, the system ingests over 10 billion data points across 700,000+ venture-backed startups. It looks for correlations, anomalies, and signals that even the sharpest GPs might miss.
So far?
It’s working. Their AI-led investments are outperforming top-tier VCs by 2x.
We already rely on #AI in trading, underwriting, even diagnosing disease.
So why are we still backing startups with human bias, pattern recognition, and anecdotal conviction?
versus
a system that’s less emotional, more scalable, and possibly more accurate.
“Should we remove humans from the investment decisions entirely.”
Will QuantumLight replace humans or enable humans to make investment decisions
How important is human bias, pattern recognition, and anecdotal conviction?
Can AI truly understand the founder journey?
The vision, resilience, and timing that often live between the data points?
What happens to VC when the pitch deck matters less than the dataset?
Would love to hear your take in the comment 👇
Source Valerie Bartel - venture Capital Invedtor in Silicone Valley
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