Genontech is a Hungarian digital health startup building intelligent, interoperable platforms for healthcare institutions, research organisations and life-science partners. We do not treat patients ourselves. We help the professionals who do. Our mission is to give clinicians and researchers back one of their most valuable resources: time. By replacing fragmented data, repetitive administration and disconnected workflows with structured digital processes, we enable healthcare teams to focus more on patients, research and clinical decisions.
Our platforms also help reveal risks, patterns and relationships that may remain hidden in conventional systems. By connecting clinical, diagnostic, genomic, registry and real-world data, we create a foundation for faster insights, efficient collaboration and evidence-based care. A central element of our portfolio is the NEVADA platform – Next-generation Evidence Validation and AI-driven Disease Analysis. NEVADA combines real-world data, clinical-trial evidence, virtual patient generation and AI-based prediction to evaluate treatment outcomes in national populations and clinically relevant patient subgroups. It helps identify where a therapy delivers the greatest value: for which patients, under which conditions and at what point its effectiveness becomes clinically meaningful. Evidence generated through the platform has already contributed to a pharmaceutical reimbursement process in Hungary.
Virtual patient generation is especially valuable in rare diseases, where patient numbers are limited and available data are often fragmented. By creating analytically usable virtual cohorts from scarce but clinically meaningful information, NEVADA can support natural-history analysis, subgroup identification, treatment-effect estimation, long-term outcome projection and population-specific scenario modelling.
One of our major national references is a country-wide paediatric oncology platform connecting treatment centres across Hungary. It supports structured case management, molecular data integration, protocol-based risk stratification, automated reporting and long-term follow-up.
Our goal is simple: help healthcare professionals save time, discover more from their data and make better-informed decisions that ultimately support better patient care.