Multiverse Computing, a San Sebastian-based AI scale-up focused on sovereign and efficient AI, today announced a €500 million ($570 million) Series C at a €1.5 billion ($1.7 billion) pre-money valuation, five times its Series B valuation. The round was co-led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, with
Rahul Raj 
Multiverse Computing, a San Sebastian-based AI scale-up focused on sovereign and efficient AI, today announced a €500 million ($570 million) Series C at a €1.5 billion ($1.7 billion) pre-money valuation, five times its Series B valuation.
The round was 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.
This deal brings the company’s total funding to €701.3 million ($800 million), inclusive of prior rounds, and may remain open to select additional strategic investors.
“The AI industry has accepted a false constraint for years — that powerful models require expensive infrastructure. That constraint is gone. 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. This round is the moment we scale that proof across every industry that needs it,” said Enrique Lizaso, co-founder and CEO of Multiverse Computing.
Founded in 2019, Multiverse Computing empowers organisations to run secure, production-ready AI with tailored solutions, thereby reducing compute costs and retaining full control across cloud, data centres, and edge environments. It innovates quantum-inspired AI models. The company states that its advanced compression technology reduces LLM size, enabling faster, scalable and cost-effective AI on any enterprise system or edge device.
At the core of Multiverse’s platform is CompactifAI, a compression technology that applies tensor networks, a mathematical framework from quantum physics, to the problem of AI model compression.
This application was pioneered by co-founder and Chief Scientific Officer Dr. Román Orús and reduces the size of large language models by up to 80-95% with immaterial accuracy loss. The company notes that the result is AI that runs faster, consumes less energy, and can be deployed in environments where sending data to a hyperscaler is too expensive, too slow, or not permitted.
The Spanish scale-up also notes that Multiverse’s platform spans the full deployment spectrum for efficient AI: compressed models optimised for cloud, on-premises, and on-device environments, orchestrated by the CompactifAI Router that decides in real time whether a workload should run locally or be sent to the cloud.
The company is also applying an end-to-end software layer for next-generation AI factories and data centres that brings model compression, GPU orchestration, AI services, and sovereign-grade controls into a unified platform. For enterprises, this means that instead of routing every workload through a hyperscaler and replacing existing infrastructure, Multiverse adds an efficiency layer above it, enabling them to match each workload with the right model and backend — while also saving hundreds of millions in the process.
Damien Henault, Managing Director and Partner at Forgepoint Capital International, said, “The AI industry has built an extraordinary capability on top of an infrastructure model that wasn’t designed to sustain it. The winners in the next phase of this multi-trillion-dollar market will be the ones that make every data centre, every GPU, and every enterprise deployment dramatically more efficient.
“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. It is the only company we’ve seen that has both the technical foundation and the commercial traction to be that critical platform.”
The company plans to use this capital to fund the expansion of Multiverse’s library of the world’s most efficient models; continued research and development on proprietary algorithms; strategic investments in sovereign AI gigafactory infrastructure and the software stack needed to support deployments; and the establishment of a stronger regional presence in key markets, including East Asia, Southeast Asia, the Middle East, Canada, and the United States.
In June 2025, Multiverse Computing announced a €189 million Series B funding round led by Bullhound Capital. In March 2025, the Government of Spain became a shareholder of Multiverse Computing, with a co-investment of €67 million. In March 2024, it secured a €25 million oversubscribed investment round.
Since closing its Series B in June 2025, Multiverse Computing reported that it has grown annualised revenue by more than 10x, with 96x year-over-year sales growth in Q1 of 2026, reaching a run rate that positions the company among the fastest-growing AI labs and infrastructure businesses in Europe.
Multiverse models are already being deployed across millions of devices and systems, including drones, cameras, satellites, vehicles, and telecom infrastructure, and are set to be embedded into AI PCs. Its customers and partners span manufacturing, finance, energy, aerospace, cybersecurity, defence, and health and life sciences, including Allianz, Bank of Canada, Bosch, Iberdrola, Indra, PwC, and Telefónica.
