Multiverse Computing
Quantum-inspired compression to shrink large AI models.
Based in San Sebastián, Multiverse Computing uses quantum-inspired and tensor-network techniques to compress large AI models dramatically - by up to around 95% in its own claims - without gutting performance.
The payoff is far lower compute and energy costs for running LLMs, which matters as inference bills balloon. Its tools serve finance, energy and logistics customers, and it reported reaching roughly €100M in annual recurring revenue by early 2026.
It is among Europe's most distinctive deep-tech AI plays.
Startup details:
- Country
- 🇪🇸 Spain
- City
- San Sebastián
- Founded
- 2019
- Founders
- Enrique Lizaso Olmos, Roman Orús, Samuel Mugel, Alfonso Rubio
- Funding stage
- Series A+
- Total funding
- ~$326M
- Valuation
- Undisclosed
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