About
Hypogenic is a specialized framework designed to accelerate the scientific discovery process through automated hypothesis generation and testing. By leveraging large language models, it supports three distinct research methodologies: data-driven pattern discovery (HypoGeniC), synergistic literature and data integration (HypoRefine), and mechanistic union methods. Whether you are analyzing mental health indicators, detecting AI-generated content, or exploring novel datasets, Hypogenic provides an iterative environment to generate, refine, and validate testable hypotheses against empirical data with significant performance improvements over traditional baselines.
