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Multiverse Computing Announces Series C Fundraising Targeting up to $570M

Multiverse Computing announced a $570 million Series C funding round at a $1.7 billion pre-money valuation to accelerate deployment of its AI model compression platform, CompactifAI. The technology uses quantum physics-derived tensor network methods to compress large language models by 80-95% with minimal accuracy loss, enabling efficient AI deployment across cloud, on-premises, and edge devices. The funding will support R&D, sovereign AI infrastructure, and expansion into key markets.

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Multiverse Computing Closes $570M Series C: Compresses Large Models to 5%-20% Size, Dual Drive from Edge AI and Sovereign Infrastructure

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Multiverse Computing announced the close of a $570M Series C round at a $1.7B pre-money valuation, a 5x increase from its Series B. Its CompactifAI technology uses tensor network methods from quantum physics to compress large language models by 80%-95% with minimal accuracy loss, enabling efficient AI deployment on edge devices, sovereign data centers, and more. The round was co-led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, with total expected funding reaching $800M.

  • Multiverse Computing closed a $570M (€500M) Series C at a $1.7B (€1.5B) pre-money valuation, a 5x increase from its Series B.
  • CompactifAI technology, based on quantum physics tensor networks, compresses large language models by 80%-95% with minimal accuracy loss.
  • Funding will be used for R&D, sovereign AI infrastructure, global market expansion, and deployments in manufacturing, finance, energy, defense, and more.
  • Since its Series B in June 2025, annualized revenue has grown over 10x, with Q1 2026 sales up 96x year-over-year.
  • Models are deployed on millions of devices, including drones, cameras, satellites, vehicles, and telecom infrastructure.
  • Customers include Allianz, Bank of Canada, Bosch, Iberdrola, Indra, PwC, and Telefónica.
Open section navigationFunding Size and Valuation

Funding Size and Valuation

Multiverse Computing announced on July 27, 2026, the close of a $570M (€500M) Series C round at a $1.7B (€1.5B) pre-money valuation, a 5x increase from its Series B. The round was co-led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, with other investors including Santander Alternative Investments, Tikehau Capital, HP Inc., Orange Ventures, and others. The round was advised by JP Morgan and Santander CIB, with total expected funding reaching $800M (including prior rounds) and potentially remaining open to select strategic investors.

Core Technology: CompactifAI and Tensor Network Compression

CompactifAI is Multiverse's core platform, applying the mathematical framework of tensor networks from quantum physics, pioneered by co-founder and Chief Scientific Officer Dr. Román Orús. The technology compresses large language models by 80%-95% with minimal accuracy loss, enabling faster and lower-energy AI deployment across cloud, on-premises, and edge devices. The platform also includes CompactifAI Router, which decides in real-time whether workloads should run locally or be sent to the cloud. Additionally, the company is building an end-to-end software layer for next-generation AI factories and data centers, integrating model compression, GPU orchestration, AI services, and sovereign-level control.

Growth and Market Validation

Since its Series B in June 2025, Multiverse's annualized revenue has grown over 10x, with Q1 2026 sales up 96x year-over-year, making it one of Europe's fastest-growing AI labs and infrastructure companies. Models are deployed on millions of devices, including drones, cameras, satellites, vehicles, and telecom infrastructure, with plans to embed into AI PCs. Customers span manufacturing, finance, energy, aerospace, cybersecurity, defense, and health life sciences, including Allianz, Bank of Canada, Bosch, Iberdrola, Indra, PwC, and Telefónica.

Investment Thesis: Edge AI and Sovereign Infrastructure

The round revolves around two themes: first, edge AI—device manufacturers and infrastructure operators see next-generation AI running directly on devices, and CompactifAI is key to enabling this; second, efficient and sovereign AI—sovereign and infrastructure investors believe the future of AI lies in facilities that halve energy consumption while doubling compute power, and Multiverse's software stack is uniquely positioned. CEO Enrique Lizaso stated that the AI industry has long accepted a false constraint—that powerful models require expensive infrastructure—and that constraint has now been broken.

Use of Funds and Strategic Expansion

Series C funds will be used to expand the world's most efficient model library, continue proprietary algorithm R&D, strategically invest in sovereign AI gigafactory infrastructure and the software stack supporting deployments, and build a stronger regional presence in key markets including East Asia, Southeast Asia, the Middle East, Canada, and the United States.

Credibility boundary

This article is primarily sourced from Multiverse Computing's official press release, as republished by The AI Insider. All figures, valuations, and technology claims come from company disclosures and have not been independently verified by third parties. Revenue growth and customer lists are self-reported and should be treated as company statements rather than independent confirmations.

Insight takeaway

Multiverse Computing has secured massive funding by leveraging quantum physics-inspired model compression technology at the intersection of edge AI and sovereign AI infrastructure trends, but its technological advantages and market position require independent verification.

Sources for this version

  1. Multiverse Computing Announces Series C Fundraising Targeting up to $570MThe AI Insider

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