The Series B will be led by Bullhound Capital with the support of world-class investors such as HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Toshiba and Capital Riesgo de Euskadi – 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 large language models (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.