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Multiverse Computing Targets €500m Series C at €2bn

28 Jul 2026

Multiverse Computing, a startup specializing in AI model compression, is reportedly targeting a €500m Series C round at a post-money valuation of €2bn. If the round closes as targeted, the company's total funding will exceed €700m.

The Round

The Series C is reportedly being co-led by Forgepoint Capital, Bullhound Capital, and BNP Paribas's Solar Impulse Venture Fund. A broad set of additional backers is also involved, including the European Innovation Council Fund, SETT, Qatar Development Bank, NAVentures, Santander Alternative Investments, HP Inc, and Orange Ventures.

This follows a $215m (€190m) Series B secured just over a year before the Series C announcement — a rapid follow-on that points to sustained investor appetite for the company's technology.

Importantly, the round is still described as a "target," meaning final terms, valuation, and investor commitments could shift before closing.

The Technology

Multiverse's core product, CompactifAI, compresses large language models — reportedly shrinking model size by up to 95% with little accuracy loss. That compression is central to the company's pitch: enabling AI to run without dependence on expensive cloud infrastructure.

CEO Enrique Lizaso framed this as breaking a "false constraint" the AI industry has accepted — the assumption that powerful models require expensive infrastructure. According to Lizaso, Multiverse has demonstrated full-performance AI running on a smartphone, inside a sovereign data center, or on a factory floor without any cloud connection.

Traction Claims

The company reports more than 100 customers across Europe and North America, including Bank of Canada, Bosch, Telefónica, and Allianz. Multiverse says it has grown annualised revenue more than 10x year-over-year and projects €200m in annual recurring revenue by 2026.

No current revenue figures were disclosed — only the growth multiple and the 2026 projection — and the methodology behind the "10x" claim wasn't specified.

What's Still Unclear

Several details remain undisclosed or unconfirmed:

  • Whether the €500m round has actually closed or is still being raised.
  • The exact ownership stake being sold or the dilution impact on existing shareholders.
  • How proceeds from the round will be used.
  • Current (as opposed to projected) revenue figures.

Why Founders Should Care

This deal, if it closes near its target terms, could be read as a signal that investors are increasingly willing to back deep-tech AI infrastructure plays — particularly those addressing compute costs and edge deployment. The diversity of backers, spanning sovereign funds, corporate strategics, and traditional VCs, suggests institutional appetite for AI efficiency technology may be broadening rather than narrowing.

Founders building in adjacent categories — edge AI, on-device inference, or sovereign AI infrastructure — may find this round instructive as a data point on what large-scale investors are currently willing to fund. That said, given the round is still a "target" and key metrics like current revenue and dilution remain undisclosed, founders should treat the figures as directional rather than confirmed, and watch for how the round ultimately closes before drawing firm conclusions about market appetite.

The reliance on 2026 revenue projections also carries forecasting risk — if Multiverse's growth trajectory slows, the underlying valuation logic could come under pressure. Likewise, claims of 95% model compression with minimal accuracy loss may invite scrutiny as the technology scales across more demanding enterprise use cases.

Bottom Line

Multiverse Computing's targeted €500m Series C at a €2bn valuation reflects strong reported momentum — a diverse investor base, triple-digit customer growth, and an ambitious 2026 revenue target. But with the round still unclosed and several key financial details undisclosed, founders should watch this space for confirmation of final terms before treating it as a settled benchmark for AI infrastructure funding.

Sources