Spanish artificial intelligence startup Multiverse Computing announced it has secured €189 million ($217 million) in funding from Bullhound Capital, HP Inc, Forgepoint Capital, and Toshiba to advance its technology for compressing AI language models.
Multiverse has developed a compression technology that can reduce the size of large language models (LLMs) by up to 95% without sacrificing performance, enabling cost reductions of up to 80%. The method blends concepts from quantum physics and machine learning to emulate quantum systems but does not require a quantum computer.
This recent funding round positions Multiverse as the largest AI startup in Spain and places it among leading European AI companies such as Mistral, Aleph Alpha, Synthesia, Poolside, and Owkin.
Multiverse has already released compressed versions of popular LLMs, including Meta’s Llama, China’s DeepSeek, and France’s Mistral, with plans to expand its model offerings. CEO Enrique Lizaso Olmos highlighted the focus on compressing widely used open-source LLMs, noting that many corporations currently rely on the Llama model family.
The compressed AI models are also available through Amazon Web Services’ AI marketplace, facilitating broader industry adoption.