QuantumLight, the London-based venture capital firm co-founded by Revolut chief executive Nik Storonsky, has closed its second fund at $500 million — approximately €432 million, and roughly twice the size of its first vehicle.
The firm invests globally across artificial intelligence, financial technology, software-as-a-service, health technology and deep technology, and has built a portfolio of 27 companies. Named holdings include Together AI, Function Health, Factory, Robin AI, Ben and Fuse Energy.
A systematic approach to sourcing and selection
QuantumLight's distinguishing feature is Aleph, a proprietary system the firm uses to identify and assess investment opportunities. The stated ambition is to reduce reliance on the network-driven, judgement-heavy process that characterises conventional venture capital, substituting data analysis for at least part of the sourcing and screening function.
The rationale is not hard to follow. Venture returns are notoriously concentrated, and much of a traditional firm's cost base sits in human effort spent finding and filtering companies. If a data system can widen the top of the funnel — surfacing companies outside a partner's personal network, or in geographies with no local presence — the addressable opportunity set expands without a proportionate increase in headcount.
Whether that translates into better selection is a separate and unresolved question. Systematic strategies in private markets face the same difficulties they encountered in public equities: sparse data, long feedback loops and a sample size too small to distinguish skill from fortune within a single fund cycle. On a ten-year vehicle, that evidence arrives slowly.
What it signals for allocators
The doubling of fund size is the more immediately informative fact. Raising $500 million for a second vehicle indicates that institutional and private investors were willing to commit at scale, in a fundraising environment that has been notably difficult for emerging managers since the 2022 repricing of technology assets.
For family offices assessing venture exposure, three considerations follow. First, process differentiation is increasingly part of how managers distinguish themselves — but it warrants the same diligence as any other stated edge, and should be examined for what it actually does rather than accepted as a description. Second, fund-size growth changes the return arithmetic: a larger vehicle must either write bigger cheques, hold more positions, or move later-stage, and each of those alters the risk profile that a first-fund track record was built on. Third, a global mandate spanning five sectors demands breadth of judgement that no data system removes the need for.
Technology allocation more broadly
The close lands in a period when private technology investment is unusually concentrated in artificial intelligence, and when the gap between capital raised and capital deployed has become a live question for limited partners. Dry powder is not a return; the discipline with which it is committed is.
There is also a governance dimension that limited partners increasingly probe. Where an investment process depends on proprietary technology, key-person risk shifts from a named partner to the team maintaining that system, and the terms on which the tooling would survive a change in the firm's leadership become a legitimate diligence question rather than a technical curiosity.
QuantumLight has not published the composition of its investor base, its fee terms or performance data for its first fund.
UKFOS editorial · published 23 August 2026