Multiverse Computing Targets $570M for Efficient AI Expansion

Artificial intelligence companies have spent years improving model performance. The cost of running those models has become a separate challenge.

Multiverse Computing is targeting up to $570 million (€500 million) in Series C funding to expand technology that reduces the computing power, energy and hardware needed to deploy AI. The round values the San Sebastián company at $1.7 billion (€1.5 billion) before the investment, five times its Series B valuation.

The funding is being co-led by Forgepoint Capital International, BNP Paribas Solar Impulse Venture Fund and Bullhound Capital. Other disclosed participants include Santander Alternative Investments, Tikehau Capital, HP, Orange Ventures, Scania Invest, NAventures, Qatar Development Bank, Zouk Capital, SETT, the EIC Fund and Spanish regional investment groups. The round may remain open to additional strategic investors.

Multiverse Computing was founded in 2019 by Enrique Lizaso, Román Orús and Samuel Mugel. The company began in quantum software before applying tensor-network mathematics to AI model compression. Its main product, CompactifAI, is designed to reduce the size of large language models by 80% to 95%, with what the company describes as limited accuracy loss.

Smaller models require less memory and computing capacity. This allows them to run in public clouds, private data centers and directly on devices such as phones, vehicles, drones, cameras and industrial systems. Multiverse is also developing a routing layer that decides whether a workload should be processed locally or sent to the cloud.

The company says its annualized revenue has increased by more than ten times since its $215 million Series B in 2025. It also reported 96-fold year-over-year sales growth in the first quarter of 2026. These figures are company-reported, but they show how quickly demand for cheaper and more efficient AI deployment is developing.

Multiverse lists Allianz, Bosch, Iberdrola, Indra, PwC, Telefónica and the Bank of Canada among its customers and partners. Its models are already being deployed across devices and systems in manufacturing, finance, telecommunications, defense, aerospace and energy.

The Series C will support new compressed models, further research, sovereign AI infrastructure and expansion across North America, Asia and the Middle East. The company also plans to invest in software for AI factories and data centers that combines model compression, GPU orchestration and deployment controls.

Multiverse has built the round around a simple idea: AI systems should do more work with less hardware. The next step will be to see whether model compression becomes a standard part of enterprise AI infrastructure rather than a specialist tool used for selected workloads.