The amount of data that is being generated in today’s electronic devices is rapidly increasing. While this is required to unleash the full potential of applications such as image and speech recognition, signal processing for smart sensors and autonomous driving, medical diagnosis from symptoms and scans, handling such a huge amount of data requires novel computing strategies. So far, the most advanced computing algorithms are still mostly executed on traditional large power-hungry computing platforms. The EU-funded Horizon 2020 project BeFerroSynaptic aims at developing an ultra-low-power neuromorphic computation platform for adoption, not only in cloud but also in portable devices, to achieve substantial power and energy savings. The ultimate goal of the BeFerroSynaptic consortium is to demonstrate the superior performance of “ferrosynaptic” technologies by building an ultra-low power neuromorphic processor.