Multiverse Computing Announces Series C Fundraising Targeting up to $570M (€500M) to Power Efficient AI from Edge to Cloud

Multiverse Computing, the global leader in efficient AI, led by Enrique Lizaso, Román Orús, Samuel Mugel, and the team, has announced a $570 million (€500M) Series C funding round at a $1.7 billion (€1.5B) pre-money valuation, a 5x step-up from its Series B. The round is co-led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, with additional commitments to date from investors including Santander Alternative Investments, Tikehau Capital, HP Inc., Orange Ventures, Scania Invest, NAventures (National Bank of Canada’s corporate venture arm), Qatar Development Bank, Zouk Capital, SETT, EIC Fund, the Basque Government’s Hazten Scale-Up Fund (Gestión de Capital Riesgo de Euskadi - Grupo Spri), and Kutxa Fundazioa. The round, advised by JP Morgan and Santander CIB, is expected to bring total funding to $800 million, inclusive of prior rounds, and may remain open to select additional strategic investors.

The funding round is built around two key trends: edge AI and efficient, sovereign AI infrastructure. Device manufacturers and infrastructure operators believe the next generation of AI will increasingly run directly on devices rather than only in data centers, with CompactifAI providing the technology to enable this shift. At the same time, infrastructure investors see demand for AI systems that deliver significantly higher performance with lower energy consumption, with Multiverse and CompactifAI positioned to provide the software foundation for this future.

Multiverse Computing believes the AI industry has long been constrained by the assumption that advanced models require massive infrastructure. The company argues that its technology enables high-performance AI to run across diverse environments, from smartphones and sovereign data centers to offline industrial settings, and plans to scale this capability across industries with the new funding.

At the core of Multiverse’s platform is CompactifAI, an AI compression technology that uses tensor networks, a mathematical framework from quantum physics, to reduce the size of large language models by 80–95% with minimal accuracy loss. Developed from research led by co-founder and Chief Scientific Officer Dr. Román Orús, the technology enables faster, more energy-efficient AI deployment in environments where cloud-based processing is costly, slow, or restricted.

Multiverse enables efficient AI deployment across cloud, on-premises, and edge environments through compressed models and the CompactifAI Router, which intelligently directs workloads between local and cloud infrastructure. Its platform helps enterprises optimize AI operations, reduce costs, and maintain greater control over their AI systems.

Investors believe the next phase of AI will be defined by efficiency, making data centers, GPUs, and enterprise deployments significantly more productive. Multiverse has evolved from an AI compression technology provider into a broader AI infrastructure platform, combining technical innovation and commercial traction to become a potential foundational layer for efficient AI deployment.

Investors believe Multiverse’s AI compression technology can make AI inference more sustainable by reducing GPU usage, energy consumption, and infrastructure requirements while maintaining performance. The company’s approach aims to lower the resource intensity of large language models and enable more efficient AI deployment at scale.

Investors believe Multiverse demonstrates Europe’s ability to compete in frontier AI by enabling organizations to run powerful models independently, with greater control over their infrastructure and data. The company’s technology aims to provide a sovereign alternative for deploying advanced AI systems.

Since its Series B in June 2025, Multiverse Computing has scaled rapidly, growing annualized revenue by more than 10x and achieving 96x year-over-year sales growth in Q1 2026. Its AI models are already deployed across millions of devices and systems, including drones, cameras, satellites, vehicles, and telecom infrastructure.

With customers across industries such as manufacturing, finance, energy, aerospace, cybersecurity, and healthcare, the Series C funding will support the expansion of its efficient AI model library, continued algorithm research, sovereign AI infrastructure investments, and global expansion across key markets.