Madrid, December 10, 2025 -- EY, a global leader in professional services, and Multiverse Computing, a Spanish pioneer in quantum-inspired and efficient AI technologies, announced a strategic collaboration to accelerate the development of agentic AI architectures that are both powerful and resource-efficient.

The collaboration brings together EY’s extensive experience in building enterprise-scale AI ecosystems with Multiverse Computing’s groundbreaking AI model compression technology, which significantly reduces the computational footprint of large language models (LLMs) without sacrificing performance. Together, the two organizations aim to enable a new wave of autonomous, scalable, and sustainable AI systems for clients across industries.

“The extensive global infrastructure of EY provides us with a direct channel to bring our compression technology to the end customer,” said Rodrigo Hernandez, Global GenAI Director of Multiverse Computing. “Together, we will help organizations implement agentic AI systems that are not only more capable, but also significantly more efficient, affordable, and sustainable. This partnership opens a new level of value for clients seeking scalable and practical AI adoption.”

“The priority for businesses today isn’t just smarter AI, it’s AI that can be deployed responsibly, integrated into operations, and deliver measurable results,” said Jose Maria Lucia Moreno, Partner at EY. “By combining Multiverse Computing’s compression technology with EY’s global transformation experience, we help clients implement agentic AI more quickly and efficiently, gaining agility and financial value while lowering infrastructure costs. This collaboration matters to us because it brings together two teams focused on making advanced AI truly usable in real-world environments, enabling greater productivity, competitiveness, and sustainable impact.”

Agentic architectures - AI systems that can autonomously plan, learn, and collaborate - require substantial computational power. By integrating Multiverse Computing’s platform, EY will be able to design and deploy AI agents that consume up to 90% less computing energy, unlocking high-value use cases that were previously limited by hardware constraints or cost barriers.

Both organizations view this collaboration as a pivotal step toward democratizing access to advanced AI systems. The joint ambition is to empower enterprises of all sizes to adopt agentic AI capabilities without compromising on cost, speed, or environmental sustainability.