Multiverse Computing Targets €500 Million Series C at €2 Billion Valuation for AI Expansion
Updated
Updated · Sifted · Jul 27
Multiverse Computing Targets €500 Million Series C at €2 Billion Valuation for AI Expansion
1 articles · Updated · Sifted · Jul 27
Summary
€500 million would rank among Spain’s biggest private tech fundraises, with the Series C in final stages and already backed by Forgepoint Capital, Bullhound Capital and BNP Paribas’s Solar Impulse Venture Fund.
CompactifAI is driving the raise: Multiverse says its quantum-inspired compression can shrink large language models by up to 95% with little accuracy loss, cutting compute needs enough to run AI on devices and sovereign data centers.
More than 100 customers across Europe and North America already use the company’s tools, including Bosch, Telefónica, Allianz and the Bank of Canada, while annualized revenue has grown more than 10-fold from a year earlier.
The round would lift total funding above €700 million, just over a year after a $215 million Series B, and fund more compressed models, faster R&D, infrastructure spending and expansion in Asia, the Middle East and North America.
Could a Spanish scaleup's quantum trick to shrink AI by 95% finally break the global reliance on hyperscale cloud infrastructure?
Can Europe's €500 million bet on sovereign AI truly secure its digital borders and industrial secrets against foreign tech dominance?
Multiverse Computing Raises €500M to Lead Quantum-Inspired AI Compression and Edge AI for European Sovereignty
Overview
Multiverse Computing’s €500 million Series C funding in early 2026 marks a major step in Europe’s push for AI sovereignty. With strong backing from state and private investors, the company is expanding its quantum-inspired AI compression technology, CompactifAI, which can shrink large models by up to 95% with minimal accuracy loss. This allows powerful AI to run locally on everyday devices, reducing energy use and cloud dependence. Strategic partnerships and real-world deployments in sectors like energy and finance validate the approach, while the technology’s design also prepares AI models for future quantum hardware, ensuring long-term adaptability and global scalability.