Multiverse Computing, a Spain-based startup working on AI model techniques inspired by quantum computing, has secured €189 million (about $215 million) in a Series B funding led by Bullhound Capital. The funding round includes strategic investors HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Quantonation, Toshiba, and Capital Riesgo de Euskadi, bringing the company's total funding to approximately €250 million.

According to Multiverse, the round will accelerate adoption of its groundbreaking CompactifAI technology, which can compress large language models by up to 95% while maintaining performance. CompactifAI addresses a critical challenge in AI deployment: the massive infrastructure costs of running LLMs. Unlike traditional compression techniques that significantly degrade model performance, Multiverse's quantum-inspired approach using Tensor Networks eliminates billions of spurious correlations while preserving accuracy. The resulting models are significantly faster and reduce inference costs by 50-80%.

The technology enables ultra-compressed LLMs to run on edge devices, including PCs, phones, cars, drones, and even Raspberry Pi computers—unlocking new use cases across industries. Compressed versions of popular models like Llama, DeepSeek, and Mistral are already available.

Founded by CEO Enrique Lizaso Olmos and Chief Scientific Officer Román Orús, Multiverse Computing has over 160 patents and serves 100+ customers including Iberdrola, Bosch, and the Bank of Canada. The company was recognized by CB Insights as one of the Top 100 Most Promising AI Companies in 2025 and won DigitalEurope's 2024 Future Unicorn award.