Datharsis

Datharsis translates industrial complexity into actionable intelligence. While raw data is abundant in the digital and industrial sectors, the true challenge lies in extracting reliable evidence for real-time decision-making. We specialize in bridging the gap between massive datasets and operational excellence, serving as a strategic Work Package leader or a specialized partner for high-level analytics and interpretable AI.

Our expertise is backed by a unique Strategic Partnership & Tech Transfer model: we are the official technology transfer partner for the Computational Data Science Laboratory (CoDaS Lab) at the University of Granada (https://codas.ugr.es/). This allows us to inject state-of-the-art multivariate techniques and "Science-for-AI" methodologies into industrial environments, ensuring that every model we build is not just a "black box," but a robust, interpretable tool for human experts.

Strategic Contribution to Cluster 4:

We are actively seeking to contribute to the following areas within the 2026 Work Programme:

• Advanced Digital Twins (HORIZON-CL4-2026-04-DIGITAL-EMERGING-09): We provide the analytical engine for Local Digital Twins. Our expertise in exploratory methods and predictive modeling enables early warning systems and preparedness scenarios that go beyond simple visualization.

• AI for Process Industries & Manufacturing (HORIZON-CL4-2026-02-DIGITAL-EMERGING-53): We optimize complex production chains by applying interpretable Machine Learning to industrial processes. We focus on improving resource efficiency and reducing downtime through advanced computational statistics.

• Data Sovereignty & Compliance (HORIZON-CL4-2026-04-DATA-06): We ensure efficient and compliant data usage. We help consortia navigate the technical requirements of the Data Act, ensuring that access to and use of industrial data is both high-performing and legally sound.

Why Datharsis?

By integrating Datharsis, your consortium gains a partner that masters the "Science of Data." We bring elite expertise in Experimental Design (DoE), Interpretable Machine Learning, and Multivariate Analysis. We don't just process data; we ensure that project results are statistically sound, reproducible, and ready for high-impact industrial application.

Are you building a consortium to lead the European digital transition? Let’s make your data speak the language of industry.