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M
Multiverse Computing
Compresses large language models using tensor network methods so organisations can run advanced AI on edge devices, existing hardware and air-gapped infrastructure at a fraction of normal compute cost.
Founded 2019201-500 employeesSan Sebastián, Spain5 open positionsWebsiteLinkedIn
Quantum TechnologyAI & Defence Software
Products & Solutions
CompactifAI
An LLM compression platform that uses tensor network mathematics to reduce model size by up to 95% while retaining close to 100% accuracy. Compressed models run 4–12x faster and cost 50–80% less to operate than their uncompressed counterparts. Organisations can access compressed versions of Llama, DeepSeek and Mistral via API on AWS, deploy privately in their own cloud or on-premise environment, or run models entirely offline on edge devices. The platform also produces open-source compressed models including HyperNova 60B and the LittleLamb 0.3B family.
Singularity
A quantum-inspired optimisation and machine learning platform built for industrial operations. It combines tensor networks, interpretable ML and proprietary quantum algorithms to tackle scheduling, anomaly detection, predictive maintenance, defect detection and process optimisation problems across manufacturing, energy, finance and aerospace. The platform offers flexible deployment via on-premises installation or customer VPC, and its tensor-network acceleration can deliver speedups exceeding 1000x over standard deep learning approaches on certain optimisation tasks.
Videos
This is Multiverse Computing
About
Multiverse Computing was founded in 2019 in Donostia-San Sebastián, Spain, by Enrique Lizaso, Román Orús, Alfonso Rubio-Manzanares and Sam Mugel. The company began by applying quantum computing to financial optimisation problems — BBVA was among its first clients — then broadened into AI model compression as it became clear that tensor network mathematics, originally developed for quantum physics, could dramatically shrink the size of large language models without meaningful accuracy loss.
Offices
Donostia-San Sebastián, SpainBarcelona, SpainMadrid, SpainMunich, GermanyParis, FranceLondon, United KingdomMilan, ItalyToronto, CanadaSan Francisco, United StatesBacked by
Bullhound CapitalHP Tech VenturesSETT (Sociedad Española para la Transformación Tecnológica)Forgepoint Capital InternationalCDP Venture CapitalSantander Climate VCQuantonationToshibaCapital Riesgo de Euskadi - Grupo SPRIColumbus Venture PartnersEuropean Innovation Council FundRedstone QAI Quantum FundIndi Partners
Customers & Partners
Bank of CanadaIberdrolaBoschTelefónicaBBVALeonardoAirbus (EPIIC/FCAS gesture recognition collaboration)Axelera AIInetumNVIDIAMarubeni Corporation
Timeline
2025-06
Raised a €189 million ($215 million) Series B round led by Bullhound Capital, bringing total funding to approximately $250 million.
2024-03
Raised an oversubscribed €25 million Series A round led by Columbus Venture Partners and Quantonation Ventures.
2019
Founded in Donostia-San Sebastián by Enrique Lizaso, Román Orús, Alfonso Rubio-Manzanares and Sam Mugel, initially focused on quantum computing for financial optimisation.
Open Positions (5)
the careers site
M
Multiverse Computing
Compresses large language models using tensor network methods so organisations can run advanced AI on edge devices, existing hardware and air-gapped infrastructure at a fraction of normal compute cost.
Founded 2019201-500 employeesSan Sebastián, Spain5 open positionsWebsiteLinkedIn
Quantum TechnologyAI & Defence Software
Products & Solutions
CompactifAI
An LLM compression platform that uses tensor network mathematics to reduce model size by up to 95% while retaining close to 100% accuracy. Compressed models run 4–12x faster and cost 50–80% less to operate than their uncompressed counterparts. Organisations can access compressed versions of Llama, DeepSeek and Mistral via API on AWS, deploy privately in their own cloud or on-premise environment, or run models entirely offline on edge devices. The platform also produces open-source compressed models including HyperNova 60B and the LittleLamb 0.3B family.
Singularity
A quantum-inspired optimisation and machine learning platform built for industrial operations. It combines tensor networks, interpretable ML and proprietary quantum algorithms to tackle scheduling, anomaly detection, predictive maintenance, defect detection and process optimisation problems across manufacturing, energy, finance and aerospace. The platform offers flexible deployment via on-premises installation or customer VPC, and its tensor-network acceleration can deliver speedups exceeding 1000x over standard deep learning approaches on certain optimisation tasks.
Videos
This is Multiverse Computing
Open Positions (5)
the careers site
About
Multiverse Computing was founded in 2019 in Donostia-San Sebastián, Spain, by Enrique Lizaso, Román Orús, Alfonso Rubio-Manzanares and Sam Mugel. The company began by applying quantum computing to financial optimisation problems — BBVA was among its first clients — then broadened into AI model compression as it became clear that tensor network mathematics, originally developed for quantum physics, could dramatically shrink the size of large language models without meaningful accuracy loss.
Offices
Donostia-San Sebastián, SpainBarcelona, SpainMadrid, SpainMunich, GermanyParis, FranceLondon, United KingdomMilan, ItalyToronto, CanadaSan Francisco, United StatesBacked by
Bullhound CapitalHP Tech VenturesSETT (Sociedad Española para la Transformación Tecnológica)Forgepoint Capital InternationalCDP Venture CapitalSantander Climate VCQuantonationToshibaCapital Riesgo de Euskadi - Grupo SPRIColumbus Venture PartnersEuropean Innovation Council FundRedstone QAI Quantum FundIndi Partners
Customers & Partners
Bank of CanadaIberdrolaBoschTelefónicaBBVALeonardoAirbus (EPIIC/FCAS gesture recognition collaboration)Axelera AIInetumNVIDIAMarubeni Corporation
Timeline
2025-06
Raised a €189 million ($215 million) Series B round led by Bullhound Capital, bringing total funding to approximately $250 million.
2024-03
Raised an oversubscribed €25 million Series A round led by Columbus Venture Partners and Quantonation Ventures.
2019
Founded in Donostia-San Sebastián by Enrique Lizaso, Román Orús, Alfonso Rubio-Manzanares and Sam Mugel, initially focused on quantum computing for financial optimisation.
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