Multiverse Raises €189M to Shrink AI Models by 95%

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.

Key Features:

  • 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

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