Multiverse Computing Secures $570M to Compress AI for Edge Devices

Multiverse Computing has secured $570 million in Series C funding, a move that signals strong investor confidence and values the company at $1.7 billion. The funding round, led by Forgepoint Capital International, BNPP SIVF, and Bullhound Capital, will fuel the deployment of CompactifAI, a technology designed to run artificial intelligence directly on devices, a departure from current reliance on data centers. This compression technology, applying principles from quantum physics, reduces large language model size by up to 95% without significant accuracy loss. “The AI industry has accepted a false constraint for years — that powerful models require expensive infrastructure,” said Enrique Lizaso, co-founder and CEO of Multiverse Computing. “That constraint is gone.”

Multiverse Computing Secures $570M Series C Funding Round

Multiverse Computing’s recent $570 million Series C funding round establishes a valuation of $1.7 billion, marking a fivefold increase from its previous Series B and signaling robust investor confidence in the company’s approach to artificial intelligence. The investor base, including HP Inc. and Orange Ventures alongside national banks and government funds, highlights the appeal of Multiverse’s technology to both hardware manufacturers and telecommunications providers. Central to Multiverse’s platform is CompactifAI, a compression technology leveraging tensor networks, a mathematical framework originating in quantum physics, to dramatically reduce the size of large language models. This innovation, developed by co-founder and Chief Scientific Officer Dr. Román Orús, achieves compression rates of 80 to 95 percent without significant loss of accuracy.

The implications extend beyond mere efficiency; Multiverse aims to enable AI to operate directly on devices, circumventing the reliance on centralized data centers. “That constraint is gone. We have proven that AI can run at full performance on a smartphone, inside a sovereign data center, on a factory floor with no cloud connection.” Multiverse’s platform offers a comprehensive solution, encompassing compressed models optimized for various environments, cloud, on-premises, and edge devices, orchestrated by the CompactifAI Router. This router intelligently directs workloads to the most appropriate location, maximizing efficiency and minimizing latency. The company is also developing an end-to-end software layer for AI infrastructure, integrating model compression, GPU orchestration, AI services, and sovereign-grade controls. This approach allows enterprises to leverage existing infrastructure while adding an efficiency layer, potentially saving substantial costs.

Damien Henault, Managing Director and Partner at Forgepoint Capital International, noted, “The AI industry has built an extraordinary capability on top of an infrastructure model that wasn’t designed to sustain it. The winners in the next phase of this multi-trillion-dollar market will be the ones that make every data center, every GPU, and every enterprise deployment dramatically more efficient.” Since its Series B close in June 2025, Multiverse Computing has experienced over ten times revenue growth, with a ninety-sixfold increase in sales during the first quarter of 2026, positioning it as a rapidly expanding AI innovator in Europe.

The AI industry has accepted a false constraint for years – that powerful models require expensive infrastructure.

Enrique Lizaso, co-founder and CEO of Multiverse Computing
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