DVPS
Diversibus Viis Plurima Solvo
The project
DVPS (Diversibus Viis Plurima Solvo) is an EU-funded research project (2025–2029) that aims to turn the design of multimodal foundation models into a rigorous, scalable scientific discipline. It develops methodologies for integrating hundreds of heterogeneous data modalities (far beyond conventional text, audio, and image inputs) into unified learning architectures, delivering AutoDVPS, an open-source toolkit for automated multimodal model design, pre-training, and fine-tuning, together with DVPS-FM, a general-purpose multimodal foundation model trained across diverse application domains.
MEEO’s role
Within the Geo-Intelligence domain, MEEO is a core project partner, bringing its expertise in Earth Observation data management and advanced geospatial analytics for agricultural applications, with a focus on multimodal data curation, preprocessing, and cross-modal alignment to deliver high-quality, ML-ready datasets. In Geo-Intelligence Use Case 3, MEEO integrates satellite imagery with complementary geospatial sources to support agricultural ecosystem monitoring, enabling downstream tasks such as crop type classification, vegetation state estimation, and large-scale ecosystem monitoring and ultimately data-driven decisions for climate-resilient and sustainable agriculture.