Spanish startup Multiverse Computing has raised €189 million to bring highly compressed, cost-efficient AI models to enterprise markets—reducing model size by up to 95%.
Date
Jun 12, 2025
Category
AI & Infrastructure
Reading Time
10 Min

Multiverse Computing is pioneering a new generation of model compression tools that can shrink large language models (LLMs) by up to 95%, while maintaining performance and slashing costs. With its latest €189 million (~$217M) funding round, the company has emerged as Spain’s largest AI startup.
By applying quantum-inspired machine learning, Multiverse enables efficient deployment of LLMs like Llama, DeepSeek, and Mistral—without needing quantum hardware. These compressed models reduce cloud computing costs by up to 80%.
Its tools are now available through the AWS AI Marketplace, helping businesses worldwide scale AI faster, cheaper, and more sustainably.
Up to 95% Model Compression: Reduces the size of LLMs with minimal performance loss.
80% Cost Reduction: Dramatically cuts GPU and cloud costs for enterprises.
No Quantum Hardware Required: Uses quantum-inspired methods on classical systems.
Global Reach: Deployed via AWS Marketplace for easy enterprise adoption.
Source:
Reuters — Full Article
Author
Reuters
CONTACT
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