In-vivo neural recording and transmission of a vast number of neurons is essential in comprehending the brain and nervous system. However, the core challenge in the field of high-channel-count in-vivo neural recording is the limitation in transferring data posed by the bandwidth and energy consumption, which currently lacks a viable telemetry solution to effectively address this challenge. This PoC project introduces a novel retinomorphic encoding method, SpikeZip, which offers several advantages over existing approaches for processing neural data, such as low information loss, minimal latency, and reduced hardware overhead. The technical advances demonstrated in this project will have significant impacts on various applications areas, such as neuroscience research with free-moving small animals, low-latency closed-loop neuromodulation, implantable brain-computer interfaces, and cognitive prosthetics. The proposed method has the potential to revolutionize the way we record and process neural data, enabling us to better understand the brain's cognitive functions and develop new therapies for various neurological disorders. This PoC project will develop a robust demonstration system and rigorously validate it in small animal studies, with settings that can be effectively applied and translated across a diverse range of neuroscience and neurotherapeutic applications. SpikeZip will develop a go-to-market strategy that highlights the technology's unique features and benefits, with a focus on IP and licensing opportunities, and engaging with industry partners to identify promising commercialization opportunities.