Qsimov (Qsimov Quantum Computing S.L.) is a Spanish deeptech startup founded in 2022 that builds efficient, explainable AI and applied quantum computing technology. Its flagship product, GreenLightningAI (GLAI), emulates feed-forward neural networks so they can be retrained incrementally without catastrophic forgetting, claiming orders-of-magnitude gains in speed and energy efficiency; it also works on 'Neighborhood Quantum Superposition' quantum algorithms and anonymized synthetic data, targeting banking, industry, energy, healthcare and mobility. Its CTO is José Duato, a UPV professor and member of Spain's Royal Academy of Sciences whose routing techniques were used in the Cray T3E and IBM BlueGene/L supercomputers.
Develops new nature-inspired, resource-efficient AI model architectures and sells them to banks and industrial enterprises as an alternative to brute-force large models.
Builds non-transformer 'liquid' neural networks that promise big efficiency and energy gains, licensed to enterprises in finance, industry and consumer electronics.
Pairs quantum-inspired AI model compression (CompactifAI) for faster, cheaper, lower-energy AI with applied quantum algorithms for banking, energy and industry clients.
Commercialises a new efficient neural architecture (state space models) that cuts compute and energy costs compared with standard deep learning models.
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