- Multiverse Computing has closed a $570 million Series C round, boosting its valuation to $2.3 billion. This is five times higher than its Series B valuation.
- Forgepoint, BNP Paribas Solar Impulse Venture Fund, and Bullhound led the round. Qatar Development Bank and HP also took part.
- Revenue increased 96 times year-over-year in the first quarter of 2026. The company has now raised $800 million across two rounds.
Multiverse Computing completed a $570 million Series C round at a $2.3 billion post-money valuation, which is five times its Series B valuation.
Forgepoint Capital International, BNP Paribas Solar Impulse Venture Fund, and Bullhound Capital co-led the round, with participation from Santander Alternative Investments, Tikehau Capital, HP Inc., Orange Ventures, Scania Invest, NAventures, Qatar Development Bank, Zouk Capital, SETT, the EIC Fund, the Basque Government’s Hazten Scale-Up Fund, and Kutxa Fundazioa.
JPMorgan and Santander advised on the deal, which brings Multiverse’s total funding to $800 million. The round is still open to select strategic investors.
What the company does
Multiverse was founded in San Sebastián in 2019 by chief executive officer Enrique Lizaso Olmos, who was previously deputy CEO of Unnim Bank, and chief technical officer Román Orús, an Ikerbasque research professor at the Donostia International Physics Centre.
The company created CompactifAI, a compression engine that uses tensor networks from quantum physics to shrink large language models. The funding is based on two main ideas: AI is moving to edge devices, and there is a growing need for efficient, sovereign AI at the data centre level.
CompactifAI reduces large language models by 80–95% with minimal accuracy loss. This enables open-source models like Llama and Mistral to run four to twelve times faster and at 50–80% lower cost. In some cases, the compressed models operate directly on phones, drones, or factory floors without a cloud connection.
The CompactifAI Router decides in real time whether tasks should run on the device or in the cloud. Multiverse also provides a full software stack for AI data centres, which includes compression, GPU management, AI services, and high-level security controls.
Tech Funding News first reported on the company in June 2025, when it raised $215 million and was compared to SandboxAQ and Classiq.
Growth and traction
Since its Series B, Multiverse says its annual revenue has grown more than ten times, with 96 times year-over-year sales growth in the first quarter of 2026. Three main factors explain this growth
The company’s models now run on millions of devices, such as drones, cameras, satellites, vehicles, and telecom infrastructure, and will soon be used in AI PCs. This is a big step beyond its earlier focus on cloud-only solutions.
Multiverse has also focused on regulated, high-spending sectors. Its customers include companies in manufacturing, finance, energy, aerospace, cybersecurity, defence, and health and life sciences, such as Allianz, Bank of Canada, Bosch, Iberdrola, Indra, PwC, and Telefónica. In these sectors, computing costs and data sovereignty are top priorities.
Plus, governments and state-linked investors, like Qatar Development Bank and Spain’s SETT, are now direct customers, supporting the company’s focus on sovereign AI infrastructure.
The new funding will support research and development of new models, investments in sovereign AI ‘gigafactory’ infrastructure, and expansion into East Asia, Southeast Asia, the Middle East, Canada, and the US.
“The AI industry has accepted a false constraint for years — that powerful models require expensive infrastructure. We have proven that AI can run at full performance on a smartphone, inside a sovereign data centre, on a factory floor with no cloud connection,“ says Lizaso.
“Multiverse sits at the intersection of the infrastructure and the application layers and has evolved from being the leading downstream LLM compression technology to becoming a complete AI foundry and Operating System,” adds Damien Henault, managing director and partner at Forgepoint Capital International.
“Beyond delivering substantial cost savings for its clients, Multiverse’s solutions achieve a structural reduction in the energy intensity of LLM workloads through advanced model compression techniques. This translates into lower GPU utilisation, reduced energy consumption and decreased infrastructure requirements, all while preserving comparable performance and accuracy levels,” notes Yann Lagalaye, managing partner at BNP Paribas Solar Impulse Venture Fund.
Market context and what’s next
The global AI inference market is expected to grow from approximately $106 billion in 2025 to between $255 billion and $310 billion by the early 2030s.
Capital efficiency is Europe’s most underrated startup advantage. Multiverse uses this idea for computing resources instead of money, making itself an efficiency layer between enterprises, sovereign infrastructure buyers, and the large companies that dominate the compute market.
