Multiverse Computing Secures $215M to Revolutionize AI Efficiency
Spanish startup Multiverse Computing has raised $215 million in Series B funding to advance its groundbreaking technology, CompactifAI, which dramatically reduces AI costs. This quantum-inspired compression tool can shrink large language models (LLMs) by up to 95% without sacrificing performance, enabling faster and cheaper AI deployment.
By offering slimmed-down versions of popular open-source LLMs like Llama 4 Scout and Mistral Small, Multiverse delivers models that are 4x to 12x faster and cut inference costs by up to 80% on platforms like AWS. Some models are efficient enough to run on everyday devices—including PCs, phones, and even Raspberry Pi units—making enterprise-grade AI more accessible and scalable.
Co-founded by physicist Román Orús and former banking executive Enrique Lizaso Olmos, Multiverse uses tensor networks—quantum-inspired tools that mimic quantum computations using classical computers—to drive its innovations. The startup now holds 160 patents and counts major names like Iberdrola, Bosch, and the Bank of Canada among its 100+ customers.https://www.bizmoarena.com/2380/sam-altman-parenting-chatgpt-ai-children/
The Series B round was led by Bullhound Capital and included investors like HP Tech Ventures, Toshiba, Santander Climate VC, and CDP Venture Capital. With this new funding, Multiverse Computing aims to scale its operations and expand its slim AI solutions to power the next wave of cost-effective artificial intelligence globallyhttps://techfundingnews.com/multiverse-.
