A new and emerging type of analytical devices are producing rich data-sets by measuring hundreds of parameters from millions of individual cells. The resulting single-cell data holds the information needed for early disease detection but it requires sophisticated and innovative computational approaches in order to extract the relevant information. We are addressing this problem by developing artificial intelligence (AI) software for single-cell data analysis. The underlying algorithms allow us to associate patterns in single-cell data with disease status, similar to how state-of-the-art methods for object recognition associate pixel patterns with objects. By partnering with hospitals to obtain single-cell patient data, we are building an AI-based pipeline for novel biomarker discovery, which will yield ultra-sensitive biomarkers for early and precise detection of a wide range of complex diseases. Further, we will provide a software solution, wrapping our AI technology for R&D customers from academia, pharma and clinics. By virtue of novelty and impact, our products have the potential to disrupt the healthcare market.