As artificial intelligence adoption accelerates worldwide, businesses are facing a growing challenge that extends beyond building smarter models. Running large language models requires enormous computing resources, significant energy consumption, and expensive cloud infrastructure, making enterprise AI deployments increasingly costly. At the same time, organisations want AI systems that can operate directly on smartphones, vehicles, industrial equipment, satellites, and other connected devices without relying on remote data centres. Spanish deeptech company Multiverse Computing is addressing this challenge by developing technology that dramatically reduces the size of AI models while maintaining their performance, and the company is now pursuing one of Europe’s largest AI funding rounds to accelerate its global expansion.
Multiverse Computing is targeting up to $570 million in its latest funding round, which values the company at approximately $1.7 billion.
The investment round is being co led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, alongside commitments from several institutional and strategic investors.
Once completed, the financing is expected to bring the company’s total funding to around $800 million, reflecting strong investor confidence in its technology and long term growth strategy.
Building More Efficient Artificial Intelligence
Founded to combine advances in quantum computing with artificial intelligence, Multiverse Computing develops software that helps organisations deploy powerful AI models more efficiently.
The company believes the next phase of AI adoption depends not only on creating more capable models but also on making them significantly smaller, faster, and less expensive to operate.
Its technology enables businesses to reduce computing requirements while expanding AI deployment across a wide range of enterprise environments.
This approach supports organisations seeking lower operating costs, faster performance, and reduced energy consumption.
CompactifAI Shrinks Large Language Models
At the centre of the company’s platform is CompactifAI, a proprietary technology inspired by principles of quantum physics.
The platform compresses large language models by removing unnecessary complexity while preserving almost all of their performance and accuracy.
According to the company, CompactifAI can reduce the size of AI models by between 80 and 95 percent, allowing them to run on significantly smaller computing systems.
This makes advanced AI practical for environments where cloud connectivity, processing power, or energy resources are limited.
The company believes model compression will become increasingly important as AI adoption expands across industries.
Supporting the Shift to Edge AI
Multiverse Computing sees edge computing as one of the biggest opportunities in artificial intelligence.
Instead of processing information entirely inside remote data centres, edge AI allows models to operate directly on connected devices, reducing latency while improving privacy and lowering infrastructure costs.
Its technology is already being deployed across applications including drones, cameras, satellites, vehicles, telecommunications infrastructure, and industrial systems.
The company also works with organisations operating across manufacturing, financial services, energy, aerospace, cybersecurity, defence, healthcare, and life sciences.
These deployments demonstrate growing enterprise demand for efficient AI capable of operating in real world environments.
Expanding an Enterprise AI Platform
Beyond model compression, Multiverse Computing continues expanding its broader artificial intelligence platform.
The company is developing technologies that enable enterprises to deploy, optimise, and manage AI systems more efficiently across diverse computing environments.
Its long term vision is to provide organisations with an integrated platform supporting AI development, optimisation, and deployment at enterprise scale.
The latest funding will help accelerate commercial expansion while supporting continued research and product innovation.
Driving the Next Phase of Enterprise AI
Artificial intelligence is rapidly becoming essential across every major industry, but controlling computing costs and improving deployment efficiency remain significant challenges.
Multiverse Computing believes the future of enterprise AI will depend on technologies that deliver powerful intelligence without requiring increasingly expensive hardware infrastructure.
With a funding round targeting up to $570 million, a growing international customer base, and continued investment in quantum inspired innovation, the company is positioning itself as a leading player in efficient enterprise AI. By enabling organisations to deploy compact, high performance language models across cloud and edge environments, Multiverse Computing aims to make advanced artificial intelligence more accessible, scalable, and sustainable for businesses around the world.
