Spanish Startup Multiverse Computing Secures €189 Million In Series B Round

This innovative solution can shrink large language models (LLMs) by up to 95%. The round is led by Bullhound Capital and supported by a group of top-tier investors including HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Quantonation, Toshiba, and Capital Riesgo de Euskadi – Grupo SPRI.

“The prevailing wisdom is that shrinking LLMs comes at a cost. Multiverse is changing that,” said Enrique Lizaso Olmos, Founder and CEO of Multiverse Computing. “What started as a breakthrough in model compression quickly proved transformative – unlocking new efficiencies in AI deployment and earning rapid adoption for its ability to radically reduce the hardware requirements for running AI models. With a unique syndicate of expert and strategic global investors on board and Bullhound Capital as lead investor, we can now further advance our laser-focused delivery of compressed AI models that offer outstanding performance with minimal infrastructure.”

Founded in 2019, Multiverse Computing specializes in quantum-inspired AI model compression. Its flagship technology, CompactifAI, can shrink large language models (LLMs) by up to 95% while maintaining only a 2–3% drop in precision. This significant compression lowers computing demands and enables new applications of AI across various industries.

Read Also - Munich-based Energytech Startup nuuEnergy Secures Pre-Seed Funding

The company holds over 160 patents and serves more than 100 customers worldwide, including major names like Iberdrola, Bosch, and the Bank of Canada. So far, Multiverse Computing has raised nearly €216 million in funding.

Per Roman, Co-founder & Managing Partner, Bullhound Capital, said: “Multiverse’s CompactifAI introduces material changes to AI processing that address the global need for greater efficiency in AI, and their ingenuity is accelerating European sovereignty. Román Orús has convinced us that he and his team of engineers are developing truly world-class solutions in this highly complex and compute intensive field. Enrique Lizaso is the perfect CEO for rapidly expanding the business in a global race for AI dominance.”

According to Multiverse Computing, large language models (LLMs) usually rely on specialised cloud infrastructure, which drives up data centre costs.

While traditional compression methods like quantisation and pruning try to reduce these costs, they often result in models that perform worse than the original.

Multiverse aims to solve this with CompactifAI—its advanced compression technology. CompactifAI produces highly compressed versions of leading open-source LLMs that maintain original accuracy, run 4 to 12 times faster, and cut inference costs by 50% to 80%.

These models are not only more affordable and energy-efficient but can also run on the cloud, private data centres, or even directly on devices like PCs, smartphones, cars, drones, and Raspberry Pi units.

Tuan Tran President of Technology and Innovation, HP Inc., commented: “At HP, we are dedicated to leading the future of work by providing solutions that drive business growth and enhance professional fulfillment. Our investment in Multiverse Computing supports this ambition. By making AI applications more accessible at the edge, Multiverse’s innovative approach has the potential to bring AI benefits of enhanced performance, personalisation, privacy and cost efficiency to life for companies of any size.”

CompactifAI was developed using Tensor Networks, a quantum-inspired technique for simplifying neural networks.

This advanced approach is a specialised area of research led by Román Orús, Co-founder and Chief Scientific Officer at Multiverse Computing.

“For the first time in history, we are able to profile the inner workings of a neural network to eliminate billions of spurious correlations to truly optimise all sorts of AI models,” said Orús.

Compressed versions of leading models like Llama, DeepSeek, and Mistral are already available, with more models expected to be released soon.

Damien Henault, Managing Director, Forgepoint Capital International, added: “The Multiverse team has solved a deeply complex problem with sweeping implications. The company is well-positioned to be a foundational layer of the AI infrastructure stack. Multiverse represents a quantum leap for the global deployment and application of AI models, enabling smarter, cheaper and greener AI. This is only just the beginning of a massive market opportunity.”

About Multiverse Computing

Founded in 2019, Multiverse Computing is a leading quantum AI software company using quantum and quantum-inspired AI to solve complex challenges across industries like finance, energy, manufacturing, defense, cybersecurity, life sciences, and chemistry. The company focuses on delivering real-world applications that create tangible value today.

Multiverse offers highly efficient software for businesses looking to gain a competitive edge through quantum computing and AI.