Enterprise – Startups, SMEs, and industry companies
Granada, Spain
Datharsis is a specialized start-up dedicated to bridging the gap between raw data and scientific discovery through rigorous methodology. We provide the technical infrastructure and analytical expertise necessary to transform complex research data into validated, interpretable, and actionable evidence. Strategic Partnership & Tech Transfer: Datharsis acts as the technology transfer partner for the Computational Data Science Laboratory (CoDaS Lab) at the University of Granada (https://codas.ugr.es/).This synergy allows us to integrate state-of-the-art multivariate techniques with professional software development and project management. More details on: https://www.b2match.com/e/online-matchmaking-eppermed-ritc26/participations/650228. Specialized services for subcontracting: We are an ideal technical partner for Horizon Europe consortia, offering specialized services that can be subcontracted within specific Work Packages (WPs): Precision Medicine & Health Analytics: We excel in patient stratification and biomarker discovery for personalized diagnosis and treatment. Multivariate Analysis & Multi-modal: Expertise in integrating complex multi-modal data (omics, clinical, and environmental) to identify hidden patterns and relationships. Advanced Experimental Design (DoE): We ensure scientific rigor from the start, optimizing sample size and experimental variables to guarantee statistically sound results. Data Interpretation & Visualization: Development of customized, user-friendly analytical tools and dashboards that turn raw datasets into clear scientific insights. Why Subcontract Datharsis? By subcontracting our services, consortia gain access to high-level Computer Science expertise and advanced computational statistics without the administrative burden of adding more partners. We ensure that project data is not just processed, but deeply understood and validated for high-impact scientific publications and clinical applications.
Rosa de Molina is a Computer Scientist and the CEO of Datharsis. With over 20 years of experience in the technology sector, she leads a specialized team dedicated to bridging the gap between advanced statistical methods and real-world research challenges. Her work focuses on transforming complex data into actionable knowledge through experimental design and exploratory analysis. She is a strong advocate for open, ethical, and impactful innovation, actively collaborating with both academic and professional communities to foster evidence-based decision-making and drive scientific advancement.