Multiverse Computing and CompactifAI: How quantum-inspired compression shrinks AI models by 95%
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–... The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bu...
Published byEdited with DeepSeek-V4-FlashImages generated with GPT Image 1.5
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–...
The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bullhound Capital, with participation from Santander, HP, Orange Ventures, and sovereign funds.
CompactifAI compressed models now run on Intel Xeon 6 CPUs without dedicated GPUs and are deployed across edge devices (drones, cameras, satellites, smartphones, Raspberry Pi), cloud servers, and enterprise partners i...
What is Multiverse Computing, what is its latest funding round targeting up to $570 million at a $1.7 billion valuation, who are the co-leadAI-generated visualization of a large neural network being compressed by quantum-inspired tensor networks.
AI Prompt
Create a landscape editorial hero image for this Studio Global article: What is Multiverse Computing, what is its latest funding round targeting up to $570 million at a $1.7 billion valuation, who are the co-lead. Article summary: ## What is Multiverse Computing. Topic tags: general, government, academic, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clickbait thumbnails, icons, and tiny thumbnail layouts. Make it useful as an illustrative visual, not as factual evidence.
openai.com
What is Multiverse Computing?
Multiverse Computing is a Spanish scaleup based in San Sebastián, founded by Enrique Lizaso, Román Orús, and Samuel Mugel. The company develops quantum-inspired software that drastically compresses large language models (LLMs) so they run more efficiently on far less hardware . If you are looking for a way to run powerful AI models on everyday devices — from a smartphone to a car — Multiverse's technology is a strong candidate for making that possible.
CompactifAI: The Core Technology
CompactifAI is Multiverse's flagship product. It uses quantum-inspired tensor networks — a mathematical framework originally developed in quantum physics — to compress LLMs in a fundamentally different way than traditional methods like quantization or pruning. Instead of simply removing individual parameters or reducing numerical precision, CompactifAI "tensorizes" the self-attention and multi-layer perceptron layers of a model, focusing compression on the model's . This allows it to truncate redundant connections in a controlled, interpretable way .
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What is the short answer to "Multiverse Computing and CompactifAI: How quantum-inspired compression shrinks AI models by 95%"?
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–...
What are the key points to validate first?
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–... The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bullhound Capital, with participation from Santander, HP, Orange Ventures, and sovereign funds.
What should I do next in practice?
CompactifAI compressed models now run on Intel Xeon 6 CPUs without dedicated GPUs and are deployed across edge devices (drones, cameras, satellites, smartphones, Raspberry Pi), cloud servers, and enterprise partners i...
Multiverse Computing and CompactifAI: How quantum-inspired compression shrinks AI models by 95%
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–... The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bu...
Published byEdited with DeepSeek-V4-FlashImages generated with GPT Image 1.5
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–...
The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bullhound Capital, with participation from Santander, HP, Orange Ventures, and sovereign funds.
CompactifAI compressed models now run on Intel Xeon 6 CPUs without dedicated GPUs and are deployed across edge devices (drones, cameras, satellites, smartphones, Raspberry Pi), cloud servers, and enterprise partners i...
What is Multiverse Computing, what is its latest funding round targeting up to $570 million at a $1.7 billion valuation, who are the co-leadAI-generated visualization of a large neural network being compressed by quantum-inspired tensor networks.
AI Prompt
Create a landscape editorial hero image for this Studio Global article: What is Multiverse Computing, what is its latest funding round targeting up to $570 million at a $1.7 billion valuation, who are the co-lead. Article summary: ## What is Multiverse Computing. Topic tags: general, government, academic, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers, clickbait thumbnails, icons, and tiny thumbnail layouts. Make it useful as an illustrative visual, not as factual evidence.
openai.com
What is Multiverse Computing?
Multiverse Computing is a Spanish scaleup based in San Sebastián, founded by Enrique Lizaso, Román Orús, and Samuel Mugel. The company develops quantum-inspired software that drastically compresses large language models (LLMs) so they run more efficiently on far less hardware . If you are looking for a way to run powerful AI models on everyday devices — from a smartphone to a car — Multiverse's technology is a strong candidate for making that possible.
CompactifAI: The Core Technology
CompactifAI is Multiverse's flagship product. It uses quantum-inspired tensor networks — a mathematical framework originally developed in quantum physics — to compress LLMs in a fundamentally different way than traditional methods like quantization or pruning. Instead of simply removing individual parameters or reducing numerical precision, CompactifAI "tensorizes" the self-attention and multi-layer perceptron layers of a model, focusing compression on the model's . This allows it to truncate redundant connections in a controlled, interpretable way .
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What is the short answer to "Multiverse Computing and CompactifAI: How quantum-inspired compression shrinks AI models by 95%"?
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–...
What are the key points to validate first?
Multiverse Computing is a Spanish AI startup whose CompactifAI technology uses quantum inspired tensor networks to compress large language models by 80–95% with only 2–3% accuracy loss, slashing inference costs by 50–... The round is co led by Forgepoint Capital International, BNPP Solar Impulse Venture Fund, and Bullhound Capital, with participation from Santander, HP, Orange Ventures, and sovereign funds.
What should I do next in practice?
CompactifAI compressed models now run on Intel Xeon 6 CPUs without dedicated GPUs and are deployed across edge devices (drones, cameras, satellites, smartphones, Raspberry Pi), cloud servers, and enterprise partners i...
What problem does it solve? Large language models are extremely expensive to train and run, requiring massive clusters of high-end GPUs. Their size and energy consumption create a cost and infrastructure barrier for most enterprises — inference costs are high, and deployment is limited to large data centers . CompactifAI overcomes that barrier.
Reported results:
80%–95% reduction in hardware footprint (model size and memory)
Only 2–3% precision loss on most benchmarks
4x–12x faster processing and 50%–80% lower inference costs
Meta's LlaMA-2 7B was compressed to just 3% of its original size in one test
Llama 3.3 70B was compressed to run on Intel Xeon 6 CPUs without dedicated GPUs
A compressed OpenAI model (gpt-oss-120B) had its memory needs cut from 61GB to 32GB — a 50% reduction — while retaining near-parity performance
Series C Funding Round
In July 2026, Multiverse Computing announced a Series C round targeting up to $570 million (€500 million) at a $1.7 billion pre-money valuation (approximately €1.5 billion pre-money, with a post-money valuation of about €2 billion) . The round remains open for additional commitments . Total funding to date is approximately $800 million .
Co-Lead Investors
Forgepoint Capital International (US-based venture capital)
BNPP Solar Impulse Venture Fund (BNP Paribas' climate-focused venture fund)
Bullhound Capital (UK-based investment bank and VC)
Other participating investors include Santander Alternative Investments, Tikehau Capital, HP Inc., Orange Ventures, Scania Invest, NAventures, Qatar Development Bank, Zouk Capital, SETT, the EIC Fund, and the Basque Government's Hazten Scale-Up Fund .
Where the Technology is Deployed
CompactifAI is deployed across a broad range of hardware, from edge devices (drones, cameras, satellites, vehicles, smartphones, Raspberry Pi) to cloud servers and sovereign AI infrastructure. The company has an API portal and a showcase app for developers, and compressed models from OpenAI, Meta, DeepSeek, and Mistral AI are available .
Customers and Partners
Named customers include Iberdrola (energy), Bosch (industrial/manufacturing), and more than 100 enterprises globally. Other named enterprise customers include Allianz, Bank of Canada, Indra, and Telefónica .
Key partnerships:
PwC (November 2025) — simplifying enterprise AI adoption and lowering compute costs
Axelera AI (March 2026) — integrating CompactifAI-compressed models on Dutch AI hardware
Qualcomm (August 2026) — deploying compressed models on Qualcomm's data center accelerators
Tech Mahindra (2023) — delivering quantum computing solutions to global enterprise customers
HP Inc. — participated as an investor in the Series C
Key Takeaway
Multiverse Computing represents a significant shift in the AI industry: rather than making models bigger, it makes them smaller, faster, and cheaper to run. Its quantum-inspired approach to model compression has attracted major strategic investors and partners, and its technology is already in use across multiple industries. For enterprises looking to deploy AI at scale without the massive GPU infrastructure that large models typically require, CompactifAI offers a concrete path forward.
What problem does it solve? Large language models are extremely expensive to train and run, requiring massive clusters of high-end GPUs. Their size and energy consumption create a cost and infrastructure barrier for most enterprises — inference costs are high, and deployment is limited to large data centers . CompactifAI overcomes that barrier.
Reported results:
80%–95% reduction in hardware footprint (model size and memory)
Only 2–3% precision loss on most benchmarks
4x–12x faster processing and 50%–80% lower inference costs
Meta's LlaMA-2 7B was compressed to just 3% of its original size in one test
Llama 3.3 70B was compressed to run on Intel Xeon 6 CPUs without dedicated GPUs
A compressed OpenAI model (gpt-oss-120B) had its memory needs cut from 61GB to 32GB — a 50% reduction — while retaining near-parity performance
Series C Funding Round
In July 2026, Multiverse Computing announced a Series C round targeting up to $570 million (€500 million) at a $1.7 billion pre-money valuation (approximately €1.5 billion pre-money, with a post-money valuation of about €2 billion) . The round remains open for additional commitments . Total funding to date is approximately $800 million .
Co-Lead Investors
Forgepoint Capital International (US-based venture capital)
BNPP Solar Impulse Venture Fund (BNP Paribas' climate-focused venture fund)
Bullhound Capital (UK-based investment bank and VC)
Other participating investors include Santander Alternative Investments, Tikehau Capital, HP Inc., Orange Ventures, Scania Invest, NAventures, Qatar Development Bank, Zouk Capital, SETT, the EIC Fund, and the Basque Government's Hazten Scale-Up Fund .
Where the Technology is Deployed
CompactifAI is deployed across a broad range of hardware, from edge devices (drones, cameras, satellites, vehicles, smartphones, Raspberry Pi) to cloud servers and sovereign AI infrastructure. The company has an API portal and a showcase app for developers, and compressed models from OpenAI, Meta, DeepSeek, and Mistral AI are available .
Customers and Partners
Named customers include Iberdrola (energy), Bosch (industrial/manufacturing), and more than 100 enterprises globally. Other named enterprise customers include Allianz, Bank of Canada, Indra, and Telefónica .
Key partnerships:
PwC (November 2025) — simplifying enterprise AI adoption and lowering compute costs
Axelera AI (March 2026) — integrating CompactifAI-compressed models on Dutch AI hardware
Qualcomm (August 2026) — deploying compressed models on Qualcomm's data center accelerators
Tech Mahindra (2023) — delivering quantum computing solutions to global enterprise customers
HP Inc. — participated as an investor in the Series C
Key Takeaway
Multiverse Computing represents a significant shift in the AI industry: rather than making models bigger, it makes them smaller, faster, and cheaper to run. Its quantum-inspired approach to model compression has attracted major strategic investors and partners, and its technology is already in use across multiple industries. For enterprises looking to deploy AI at scale without the massive GPU infrastructure that large models typically require, CompactifAI offers a concrete path forward.
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