Spanish startup Multiverse Computing has secured a €189 million (approximately $215 million) Series B funding round, based on its cutting-edge “CompactifAI” technology. As a compression technology inspired by quantum computing, CompactifAI can reduce the size of Language Learning Models (LLMs) by up to 95% without affecting performance. The company offers compressed versions of various LLMs, citing faster operation and lower inference costs for their models compared to uncompressed ones. Multiverse’s models can be accessed via Amazon Web Services, deployed on site, and even be used on PCs and other smaller devices.
Cofounded by CTO Román Orús and CEO Enrique Lizaso Olmos, Multiverse has strong technical foundations. Orús, a professor at the Donostia International Physics Center in Spain, is known for breakthroughs in tensor networks—computational tools that mimic quantum computers. Olmos, holding several mathematical degrees, has a rich background in banking. The funding round was led by Bullhound Capital, with participation from HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Toshiba, and Capital Riesgo de Euskadi – Grupo SPR. The startup boasts 160 patents, 100 global customers including Bosch and Bank of Canada, having raised around $250M in total.
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