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Home»Technology»Quantum Computing Startup Multiverse Secures $570M, Soaring to $2.3B Valuation: How It Achieved 96x Growth in Just Four Years
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Quantum Computing Startup Multiverse Secures $570M, Soaring to $2.3B Valuation: How It Achieved 96x Growth in Just Four Years

July 27, 20263 Mins Read
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Multiverse Computing Secures $570 Million in Series C Funding

Multiverse Computing has successfully completed a Series C funding round, raising $570 million and bringing its total valuation to an impressive $2.3 billion—five times its previous valuation during its Series B round.

The funding round was co-led by prominent investors Forgepoint Capital, BNP Paribas Solar Impulse Venture Fund, and Bullhound Capital. Additional participation came from several other institutions, including Qatar Development Bank and HP Inc.

In a remarkable financial performance, Multiverse reported a staggering 96-fold increase in revenue year-over-year during the first quarter of 2026. This funding round increases the company’s total funds raised to $800 million over the course of two funding rounds, with the opportunity for select strategic investors to join.

About Multiverse Computing

Founded in 2019 in San Sebastián by Enrique Lizaso Olmos and Román Orús, Multiverse has developed a unique technology called CompactifAI. This innovative compression engine utilizes principles from quantum physics to minimize the size of large language models. The backing for this technology is rooted in two crucial trends: the shift of AI to edge devices and the need for efficient AI solutions at the data center level.

CompactifAI can compress language models by 80-95% while maintaining accuracy. This allows open-source models like Llama and Mistral to operate four to twelve times faster and at significantly reduced costs. In some applications, these compressed models can even function directly on devices like smartphones and drones without relying on cloud services.

The CompactifAI Router intelligently decides in real time whether tasks should be executed on the device or in the cloud. Furthermore, Multiverse provides a comprehensive software stack for AI data centers, offering features like compression, GPU management, AI services, and robust security controls.

Growth and Achievements

Since its last funding round, Multiverse has seen its annual revenue surge more than tenfold, with a remarkable 96 times year-over-year growth reported in early 2026. Several factors contributing to this momentum include:

  • The deployment of its models across millions of devices, including drones, cameras, and vehicles. The company is also moving beyond cloud-only solutions to incorporate AI PCs.
  • A focus on high-spending, regulated industries such as manufacturing, healthcare, cybersecurity, and finance, with clients including Allianz, Bosch, and Telefónica. Computing costs and data sovereignty are critical concerns in these sectors.
  • Engagements with government and state-linked investors, including Qatar Development Bank, solidifying Multiverse’s commitment to sovereign AI infrastructure.

The latest funding will be channeled into research and development for new models and expanding infrastructure for sovereign AI. The company also plans to extend its reach into East Asia, Southeast Asia, the Middle East, Canada, and the US.

As CEO Lizaso mentions, “For too long, the AI industry has mistakenly believed that powerful models require costly infrastructure. We’ve shown that AI can perform optimally on devices as simple as smartphones.”

Damien Henault from Forgepoint Capital adds, “Multiverse has evolved from merely compressing language models to becoming a complete AI foundry and operating system.”

Market Outlook

Looking ahead, the global AI inference market is projected to expand from roughly $106 billion in 2025 to between $255 billion and $310 billion by the early 2030s.

By focusing on capital efficiency and resource management, Multiverse aims to create a bridge between enterprises and the dominant players in the computing market, establishing itself as an efficiency layer in AI infrastructure.

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