Multiverse Computing

At Multiverse Computing, the company is focused on developing efficient artificial intelligence based on quantum-inspired techniques and tensor networks. It develops advanced technologies for compressing and optimizing AI models, enabling a significant reduction in model size and computational costs while maintaining high performance. Its technology allows advanced AI models to be deployed across cloud, data center, edge and on-premise environments, facilitating scalable, secure and sustainable AI adoption for enterprises and public organizations. In addition, the company also has capabilities in quantum computing and post-quantum cryptography, which complement its technological offering in advanced innovation and digital security projects.

Multiverse Computing develops advanced efficient artificial intelligence technologies based on quantum-inspired techniques and tensor networks, with the goal of significantly reducing the computational requirements of AI models and facilitating their deployment across cloud, data centers, edge, and on-premise environments. This activity is specifically linked to the DCA Artificial Intelligence community, contributing to the development and adoption of more efficient, scalable, and sustainable AI.

Parallel to this, the company also participates in activities related to quantum computing, developing quantum algorithms and hybrid quantum-classical solutions applied to optimization, simulation, and machine learning problems. Additionally, it works on the evaluation and adoption of Post-Quantum Cryptography (PQC) technologies to protect digital systems against future threats derived from quantum computing.