Latest news with #CompactifAI
Yahoo
2 days ago
- Business
- Yahoo
Multiverse raises $215m to advance CompactifAI technology
Spanish quantum software startup Multiverse Computing has raised €189m ($215m) in a Series B funding round to advance its CompactifAI technology. CompactifAI, developed throughout 2024 and now rolled out to initial customers, can reduce the size of Large Language Models (LLMs) by up to 95% while preserving performance. The investment round was led by Bullhound Capital with participation from investors including HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital and Santander Climate VC, as well as Quantonation, Toshiba, and Capital Riesgo de Euskadi - Grupo SPRI. Multiverse said it plans to leverage the funding to support broader adoption of CompactifAI, targeting the $106bn AI inference market. This technology is claimed to address the high costs of running LLMs, which typically require specialised cloud-based infrastructure. Multiverse Computing founder and CEO Enrique Lizaso Olmos said: 'With a unique syndicate of expert and strategic global investors on board and Bullhound Capital as lead investor, we can now further advance our laser-focused delivery of compressed AI models that offer outstanding performance with minimal infrastructure.' Unlike traditional compression methods such as quantisation and pruning, which often degrade model performance, CompactifAI maintains original accuracy, achieves 4x-12x faster processing, and cuts inference costs by 50%-80%, according to the company. CompactifAI enables compressed models to operate on cloud platforms, private data centres, or devices including PCs, phones, cars, drones, and Raspberry Pi. Compressed versions of Llama, DeepSeek, and Mistral models are available now, with more models expected soon. The technology leverages Tensor Networks, a quantum-inspired approach to neural network simplification, pioneered by Roman Orus, Multiverse's co-founder and chief scientific officer. Orus said: 'For the first time in history, we are able to profile the inner workings of a neural network to eliminate billions of spurious correlations to truly optimise all sorts of AI models.' At the end of 2024, Multiverse Computing received an investment from CDP Venture Capital, an Italian venture capital investor, as part of its Series A funding round. The investment was made through two compartments of the Corporate Partners I fund, ServiceTech and Energytech, which includes participation from major Italian corporations such as Baker Hughes, BNL BNP Paribas, Edison, GPI, Italgas, Snam, and Terna Forward. "Multiverse raises $215m to advance CompactifAI technology" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Sign in to access your portfolio
Yahoo
3 days ago
- Business
- Yahoo
Multiverse Computing raises $215M for tech that could radically slim AI costs
On Thursday, Spanish startup Multiverse Computing announced that it raised an enormous Series B round of €189 million (about $215 million) on the strength of a technology it calls 'CompactifAI.' CompactifAI is a quantum-computing inspired compression technology that is capable of reducing the size of LLMs by up to 95% without impacting model performance, the company says. Specifically, Multiverse offers compressed versions of well-known open source LLMs – primarily small models – such as Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B, Mistral Small 3.1. However, it will soon release a version of DeepSeek R1, with more open source and reasoning models coming soon. Proprietary models from OpenAI and others are not supported. It's 'slim' models, as the company calls them, are available on Amazon Web Services or can be licensed for on-premises uses. The company says its models are 4x-12x faster than the comparable not-compressed versions, which translates to 50%-80% reduction in inference costs. For instance, Multiverse says that its Lama 4 Scout Slim costs 10 cents per million tokens on AWS compared to Lama 4 Scout's 14 cents. The company says that some of its models can be made so small and energy efficient they could be run on PCs, phones, cars, drones and even the DIY-enthusiast's favorite tiny PC, Raspberry PI. (We are suddenly imagining those fantastical Raspberry PI Christmas-light houses upgraded with LLM-powered interactive talking Santas.) Multiverse has some technical might behind it. It was co-founded by CTO Román Orús, a professor at the Donostia International Physics Center in San Sebastián, Spain. Orús is known for his pioneering work on tensor networks (not to be confused with all AI-related things named Tensor at Google). Tensor networks are computational tools that mimic quantum computers but run on classic computers. One of their primary uses these days is compression of deep learning models. Multiverse's co-founder and CEO, Enrique Lizaso Olmos, also holds multiple mathematical degrees and has been a college professor. He spent most of his career in banking, best known as the former deputy CEO of Unnim Bank. The Series B was led by Bullhound Capital (which has backed companies like Spotify, Revolut, DeliveryHero, Avito, Discord) along with participation of HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Toshiba and Capital Riesgo de Euskadi – Grupo SPR. Multiverse says it has 160 patents and 100 customers globally, including Iberdrola, Bosch, and the Bank of Canada. With this funding, it has raised about $250M to date. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
TechCrunch
3 days ago
- Business
- TechCrunch
Multiverse Computing raises $215M for tech that could radically slim AI costs
On Thursday, Spanish startup Multiverse Computing announced that it raised an enormous Series B round of €189 million (about $215 million) on the strength of a technology it calls 'CompactifAI.' CompactifAI is a quantum-computing inspired compression technology that is capable of reducing the size of LLMs by up to 95% without impacting model performance, the company says. Specifically, Multiverse offers compressed versions of well-known open source LLMs – primarily small models – such as Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B, Mistral Small 3.1. However, it will soon release a version of DeepSeek R1, with more open source and reasoning models coming soon. Proprietary models from OpenAI and others are not supported. It's 'slim' models, as the company calls them, are available on Amazon Web Services or can be licensed for on-premises uses. The company says its models are 4x-12x faster than the comparable not-compressed versions, which translates to 50%-80% reduction in inference costs. For instance, Multiverse says that its Lama 4 Scout Slim costs 10 cents per million tokens on AWS compared to Lama 4 Scout's 14 cents. The company says that some of its models can be made so small and energy efficient they could be run on PCs, phones, cars, drones and even the DIY-enthusiast's favorite tiny PC, Raspberry PI. (We are suddenly imagining those fantastical Raspberry PI Christmas-light houses upgraded with LLM-powered interactive talking Santas.) Multiverse has some technical might behind it. It was co-founded by CTO Román Orús, a professor at the Donostia International Physics Center in San Sebastián, Spain. Orús is known for his pioneering work on tensor networks (not to be confused with all AI-related things named Tensor at Google). Tensor networks are computational tools that mimic quantum computers but run on classic computers. One of their primary uses these days is compression of deep learning models. Techcrunch event Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Multiverse's co-founder and CEO, Enrique Lizaso Olmos, also holds multiple mathematical degrees and has been a college professor. He spent most of his career in banking, best known as the former deputy CEO of Unnim Bank. The Series B was led by Bullhound Capital (which has backed companies like Spotify, Revolut, DeliveryHero, Avito, Discord) along with participation of HP Tech Ventures, SETT, Forgepoint Capital International, CDP Venture Capital, Santander Climate VC, Toshiba and Capital Riesgo de Euskadi – Grupo SPR. Multiverse says it has 160 patents and 100 customers globally, including Iberdrola, Bosch, and the Bank of Canada. With this funding, it has raised about $250M to date.
Yahoo
07-05-2025
- Business
- Yahoo
Multiverse Computing Named to the 2025 CB Insights' List of the 100 Most Innovative AI Startups
Multiverse Computing Quantum AI company recognized for providing AI model compression technology to solve real-world AI challenges CB Insights AI 100 2025 Source: CB Insights DONOSTIA, Spain, May 07, 2025 (GLOBE NEWSWIRE) -- Multiverse Computing , the leader in AI model compression, has been named to the 2025 CB Insights' List of the 100 Most Innovative AI Startups . The recognition highlights the company's breakthroughs at the intersection of quantum computing and AI, with a focus on cost-effective and energy-efficient solutions to optimize AI model processing. "The AI 100 winners are future movers and shakers, taking big swings that will shape the future of AI," said Manlio Carrelli, CEO at CB Insights. "This year's cohort is pushing AI applications from emerging to emerged, working on everything from AI agents for complex processes to security and robotics. They've also zeroed in on new and promising technologies that might not be on the radar of many enterprises – multi-agent systems, novel computing and data curation approaches, and physical AI." The transformative potential of artificial intelligence across virtually every industry is immense. This promise is underscored by a 2024 EY report concluding that AI-related companies had attracted a remarkable 37% of total venture capital activity in the last quarter of the year. AI models present significant challenges due to their substantial size, high computational costs, and considerable energy consumption. But common compression techniques often lead to a noticeable decline in accuracy and precision. Multiverse Computing pioneered a novel approach to compressing models using quantum-inspired tensor networks. Their proprietary compressor, CompactifAI , enables up to 93% size reduction without sacrificing original accuracy, dramatically reducing AI deployment costs and opening up a variety of new AI use cases. "As AI continues to proliferate, organizations across industries are looking for cost- and energy-efficient ways to implement AI models,' said Enrique Lizaso Olmos, founder and CEO of Multiverse Computing. 'CompactifAI is revolutionizing AI processing, and it's an honor from CB Insights to validate our efforts and impact on the AI industry.'
