empowers pathology experts to remotely diagnose patients faster and more accurately. A multidimensional business model. To maximize accuracy and efficiency, Zaya is based on three different pillars: the medical clinic, the pathology lab and the AI tool they use to bring it all together. AI tool already performing similarly to expert pathologists. Currently, Zaya AI has a really impressive database of digitized tissue images of several pathologies, with about 500,000 cases and millions of tissue images. But the real head-turner is that their AI model has reached a performance similar to real expert pathologists. 7/9 on the NASA tech readiness scale - This means that their prototypes are tested and demonstrated in an operational environment such as hospitals and pathology labs. The potential of Zaya AI extends far beyond conventional boundaries: it’s already conquering groundbreaking strides in drug discovery, predictive therapy, and a remarkable reduction in laboratory costs, alongside an impressive threefold increase in diagnostic speed while concurrently diminishing the margin of human error by a noteworthy 30%. Mitigating the global shortage of pathology workers. From a macroscopic perspective, the deficit is glaring. Ideally, there should be 10 specialists for every 100,000 people, while the EU average is 3 pathologists, with countries like Germany where there are only 2 pathologists per hundred thousand. The consequence of talent shortage in healthcare is that it leads to late diagnoses, poorer medical care and poorer overall patient outcomes. Creating a wizard that allows faster and more accurate diagnoses could finally provide a long-term solution.