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NewsMaterial3 min readDisconfirmAI Editorial

NEA Partner: The Problem with Corporate Cash Management Is Infrastructure, Not Products

New Enterprise Associates (NEA) partners Philip Chopin and Hunter Worland outline the thesis for leading Spiko’s $90 million Series B financing: corporate cash loses billions of euros in yield annually, not due to a lack of high-interest products, but because underlying infrastructure remains fragmented across different institutions, ledgers, and overnight batch files; tokenization compresses ownership and balances into a single programmable ledger, solving both yield accumulation and automation; Europe serves as the entry point due to the largest yield gap, insufficient bank technology investment, and Spiko having already assembled its regulatory stack.

Verified 2026-10-23 02:08 GMT+8

New Enterprise Associates (NEA), an American venture capital firm, partner Philip Chopin and Hunter Worland opened their explanation for why they are leading Spiko’s $90 million Series B financing round for the Paris and London-based corporate cash management platform with a single sentence: too many businesses pay to lose money. More precisely, they pay management fees, performance fees, and transaction fees to hold cash that loses purchasing power every year on an inflation-adjusted basis.

The problem they identified is not that any specific bank offers low interest rates, but that the underlying infrastructure for corporate cash management remains stuck in the 20th century. Each layer is operated by a different institution, uses different ledgers, reconciles via overnight batch files, and exposes data to customers through outdated interfaces. The result is that businesses collectively lose billions of euros in yield annually, simply because the pipes beneath their cash have not been rebuilt.

Building on this diagnosis, Chopin and Worland define tokenization as the next foundational shift in financial infrastructure. Its mechanism involves migrating assets onto shared ledgers where ownership and balances exist on a single programmable ledger, enabling instant settlement, continuous yield accumulation, and software-driven workflows to replace batch processing and manual operations.

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They further propose a forward-looking connection: this same structure serves as the natural foundation for AI agents that will increasingly run financial functions. On legacy bank and transfer agent infrastructure, automating finance is difficult because every action requires reconciling multiple siloed ledgers and waiting for overnight files; on a tokenized stack, AI agents can execute smart contracts, automatically sweep surplus cash into yield, post collateral, rebalance exposures within guardrails, and turn today’s static financial balances into always-on, self-optimizing systems.

Regarding why the approach starts in Europe, the authors cite three conditions: non-financial enterprises earn significantly lower yields than global peers, banks have underinvested in technology, and Spiko has already assembled a complete regulatory licensing stack. They simultaneously argue that the opportunity is fundamentally global, with the same architecture applicable to the United States, Latin America, and Asia.

Boundaries for readers to note: NEA is the lead investor in this round, and this text constitutes a public statement of its investment thesis. The cited figures of approximately $2.7 billion in assets under management and over 10,000 customers come from company self-reports as of September 2026, viewable on the public Dune dashboard, though NEA explicitly states in its disclaimer that certain information comes from third-party sources and has not been independently verified by them. The estimate of billions of euros in lost yield is provided by the authors without methodological detail. The assertion that AI agents run financial functions is a forward-looking judgment by the authors, not an achieved fact. Whether tokenized cash funds can evolve from supplementary tools for European corporate cash into mainstream infrastructure depends on the regulatory environment, institutional adoption speed, and operational frictions, which are not fully elaborated in this argument.

Sources

  • nea.comNEA↗
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