Multiverse Computing Secures €189 Million to Innovate AI Model Compression

• Multiverse Computing has raised €189 million to enhance their AI technology.
• The investment round is led by Bullhound Capital and includes top investors.
• CompactifAI can compress LLMs by up to 95% with minimal accuracy loss.
• The startup has over 160 patents and serves over 100 global customers.
• Their technology aims to optimize AI processing and reduce operational costs.

Spanish Startup Multiverse Computing Secures Major Funding

Multiverse Computing, a leading player in the world of AI innovation, has just announced a noteworthy funding milestone: they’ve secured €189 million in a Series B investment round. This substantial capital infusion will be crucial for advancing their pioneering technology, CompactifAI, which can compress large language models (LLMs) by as much as 95%. The round is led by Bullhound Capital, accompanied by prominent investors like HP Tech Ventures and Toshiba, showcasing a robust vote of confidence in Multiverse’s vision and technology.

Innovation and Efficiency in AI Compression

Founded in 2019, Multiverse has carved out a niche in quantum-inspired AI model compression. Their flagship product, CompactifAI, stands out due to its high compression rates, which only involve a minor precision loss of around 2 to 3%. This impressive technology dramatically slashes computing requirements, promising fresh, innovative applications for AI across multiple sectors, while already attracting over 100 customers including major names like Bosch and the Bank of Canada.

Investors Eye Multiverse’s Potential to Revolutionize AI

Bullhound Capital’s Co-founder, Roman Per, praised Multiverse’s technology, stating that it brings significant advancements to AI processing and addresses the pressing global demand for efficiency. According to him, the innovations stemming from Multiverse are a leap forward in European AI sovereignty. Enrique Lizaso, CEO of Multiverse, echoed this sentiment, noting that their cutting-edge solutions in AI model compression come at a critical time as businesses worldwide strive for improved performance and reduced costs in their AI infrastructures.

In summary, Multiverse Computing is on an exciting trajectory with the recent €189 million funding, poised to push the boundaries of AI model compression through its CompactifAI technology. Their approach is not just about efficiency but also about making AI applications more accessible. As they continue to innovate and expand, there’s a significant possibility that we will see groundbreaking changes in how AI operates across various industries.