Multiverse Computing targets a $570m Series C at a $1.7bn valuation to cut AI costs

This article was published on July 27, 2026 The Spanish deeptech firm behind CompactifAI is betting that shrinking large language models, rather than scaling them, is where the next round of AI money gets made. Spanish deeptech company that shrinks large language models wants investors to bet that efficiency, rather than sheer scale, is where the next stretch of AI money gets made. Multiverse Computing, based in San Sebastián in Spain’s Basque Country, has opened a Series C round targeting up to $570m (€500m), the company said on July 27. The raise would value the startup at roughly $1.7bn (€1.5bn) before the new money arrives, which the company put at about five times its previous valuation. The pitch rests on CompactifAI, a tool Multiverse says can compress a large language model by up to 95% with what it calls immaterial accuracy loss. It borrows tensor networks from quantum physics to strip redundancy out of a model, cutting the memory, cost, and energy each query burns. The technique sits inside a broader compression race that has pulled in far larger players. In practice, the company sells slimmed-down versions of open models such as Meta’s Llama, packaged to run on cheaper h

Jul 27, 2026 → Aug 3, 2026