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Scaling Groundbreaking Technology That Compresses LLMs by Up to 95%

Bullhound Capital Leads €189M Investment in Multiverse Computing

San Sebastián, Spain, June 12, 2025 - Multiverse Computing, the global leader in quantum-inspired AI model compression, has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95% while maintaining model performance. Having spent 2024 developing the technology and rolling it out to initial customers, the company today announces a €189 million ($215 million) investment round.

The Series B will be led by Bullhound Capital with the support of world class investors such as HP Ventures, Forgepoint Capital, Santander and Toshiba, as well as public support from Spanish institutions such as SETT and Euskadi’s Grupo SPRI. The company has brought on widespread support for this push with a range of international and strategic investors. The investment will accelerate widespread adoption to address the massive costs prohibiting the roll out of LLMs, revolutionizing the $106.03 billion AI inference market.

LLMs typically run on specialized, cloud-based infrastructure that drive up data center costs. Traditional compression techniques —quantization and pruning—aim to address these challenges, but their resulting models significantly underperform original LLMs. With the development of CompactifAI, Multiverse discovered a new approach. CompactifAI models are highly-compressed versions of leading open source LLMs that retain original accuracy, are 4x-12x faster and yield a 50%-80% reduction in inference costs. These compressed, affordable, energy-efficient models can run on the cloud, on private data centers or -in the case of ultra compressed LLMs- directly on devices such as PCs, phones, cars, drones and even Raspberry PI.

“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.”

CompactifAI was developed using Tensor Networks, a quantum-inspired approach to simplifying neural networks. This specialized field of study was pioneered by Román Orús, Co-Founder and Chief Scientific Officer at Multiverse. “For the first time in history, we are able to profile the inner workings of a neural network to eliminate billions of spurious correlations and truly optimize all sorts of AI models,” said Orús. Compressed versions of top Llama, DeepSeek, and Mistral models are available now, with additional models to follow.

Per Roman, Co-founder and Managing Partner at Bullhound Capital, said: “Multiverse’s CompactifAI introduces material changes to AI processing that address the global need for greater efficiency, 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 to rapidly scale the business in the global race for AI dominance. I’m also pleased to see so many high-profile investors, such as HP and Forgepoint, join the round. We welcome their participation.”

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, personalization, privacy and cost efficiency to life for companies of any size.”

Bullhound Capital invested through GP Bullhound Fund VI, which also includes late-stage ventures such as Q-CTRL, LeoLabs, EcoVadis, CoverManager, Mentimeter, Sesame HR and Sanity. The investment was supported by:

  • The LFF 2 Initiative – a partnership between the Société Nationale de Crédit et d’Investissement (SNCI) and the European Investment Fund (EIF), aimed at financing innovation in Luxembourg.
  • The European Investment Fund (EIF) – with capital from the GFF – EIF Growth Facility, including matching contributions from both the ERP and EIF.

About Multiverse Computing

Multiverse Computing is the leader in quantum-inspired AI model compression. The company’s deep expertise in quantum software and AI led to the development of CompactifAI, a revolutionary compressor that reduces LLM size by up to 95% with only 2–3% precision loss. These models drastically lower computing requirements and open new use cases for AI across industries. Headquartered in Donostia, Spain, with offices across Europe, the US, and Canada, Multiverse won DigitalEurope’s 2024 Future Unicorn award and was recognized by CB Insights as one of the Top 100 Most Promising AI Companies in 2025. With over 160 patents and 100 customers globally, including Iberdrola, Bosch, and the Bank of Canada, Multiverse Computing has raised approximately $250 million to date. For more, visit multiversecomputing.com.

About Bullhound Capital

Bullhound Capital is the investment management arm of GP Bullhound, partnering with founders building category-leading technology companies. Launched in 2008 with over €1 billion deployed, it has invested in global leaders such as Spotify, Klarna, Revolut, Slack, Unity, ConnexAI, and EcoVadis. With 13 offices worldwide, its platform delivers hands-on, founder-focused support across strategy, growth, and execution. From quantum to entertainment, Bullhound Capital backs global leaders applying artificial intelligence to solve real-world problems.

For inquiries, please contact: 
Ben Prade at ben.prade@bullhound.com 
Callum Stewart at callum.stewart@bullhound.com 
Carlos de la Esperanza at Carlos.delaEsperanza@bullhound.com
Press inquiries: press@gpbullhound.com  

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