Nygen Analytics empowers biopharma and academic teams to identify and prioritize drug targets from complex omics data, starting with single cell. As datasets grow rapidly, analysis remains slow, specialist dependent, and often inconsistent across analysts. Nygen addresses this by standardizing cell annotation and interpretation through AI, enabling faster and more reliable biological insight.
Nygen’s cloud-based platform analyzes, annotates, and interprets datasets to generate ranked targets and cell state insights with clear evidence trails. At its core is CyteType, an AI driven annotation and discovery engine that delivers reproducible results with structured reasoning and confidence scoring. Built on proprietary, memory efficient algorithms, the platform enables scalable and cost-effective analysis of single cell data. Nygen was founded at Lund University by Parashar Dhapola, a computational biologist, and Göran Karlsson, Associate Professor and pioneer in single cell profiling.
