QuantumLight, the quantitative venture capital firm founded by Revolut CEO Nik Storonsky, has closed its second fund at $500 million, according to an exclusive report from Sifted. The fund was oversubscribed, doubling the size of the firm's inaugural $250 million Fund I (which closed in May 2025) and signaling strong LP confidence in algorithmic venture capital.
QuantumLight's central thesis is systematic, data-driven investing powered by Aleph, a proprietary AI model that analyzes billions of data points across 700,000 venture-backed companies globally. CEO Ilya Kondrashov has stated the firm aims to 'almost eliminate human judgment from the investment process.' All 17 of QuantumLight's investments to date have been identified by Aleph rather than traditional partner networking. The firm targets growth-stage (Series B/C) companies across AI, Web3, Fintech, SaaS, and Healthtech, with 70% of its portfolio based in the US.
The firm's approach reflects Storonsky's background as a quant trader at Lehman Brothers and Credit Suisse. His success scaling Revolut to 10,000+ employees and a $45 billion valuation lends credibility to the thesis that systematic, data-driven approaches can outperform traditional VC intuition. QuantumLight also publishes operating playbooks (e.g., 'Hiring Top Talent,' 'Driving High Performance') derived from Revolut's internal systems, packaged as advisory products for founders.
The $500 million Fund II close underscores a broader industry trend: major LPs are increasingly comfortable with algorithm-driven VC, and firms like QuantumLight can raise capital on the premise that machines can identify outliers more consistently than human partners. This mirrors similar shifts in hedge funds and public markets, where quant strategies have proven competitive over long time horizons.
For practitioners: QuantumLight's growth signals that algorithmic deal sourcing and portfolio analysis are becoming mainstream in venture capital. Founders backing data-driven decision-making should expect increasing pressure to formalize and quantify traction metrics early. Conversely, founders in emerging categories or those relying on narrative and hype may find themselves at a disadvantage in QuantumLight's lens, potentially leading to winner-take-most dynamics around 'metrics-friendly' sectors like AI and SaaS, while Web3 and other narratives-driven sectors fragment.