About
Hypogenic is a specialized scientific discovery framework that automates the generation, refinement, and testing of hypotheses. It leverages large language models to systematically explore patterns in observational datasets and integrate theoretical insights from academic literature. By providing three distinct approaches—data-driven (HypoGeniC), literature-integrated (HypoRefine), and mechanistic combinations (Union)—it allows researchers to accelerate the scientific method. This skill is particularly effective for empirical research tasks such as deception detection, AI content identification, and mental health analysis, offering performance optimizations like Redis caching and parallel processing to ensure cost-effective and scalable discovery.
