AGODA is a digital humanities project funded by the DataLab of the Bibliothèque nationale de France. It aims to make the parliamentary debates of the French Third Republic (1881–1940) more accessible and usable by creating a structured, semantically enriched XML-TEI corpus.

The DeepToS project explores a novel approach to 3D vascular segmentation by classifying nodes in a Tree of Shapes structure using deep learning and graph-based methods, with the goal of producing more connected and biologically consistent results.

The ISEVAC project develops next-generation vascular segmentation methods by combining high-quality annotations, topology-aware tracking, and foundation-model-guided interaction, with direct integration into 3D Slicer.

The MEZANNO project develops open, AI-assisted tools to support the construction, extraction, and semantic structuring of customized textual corpora from digitized archival documents using the IIIF standard.

The MOBIDEM project aimed to make secure and user-friendly mobile electronic signatures broadly accessible by developing a platform for identity verification and signature issuance without in-person appointments.

The ANR SoDUCo project (2019–2023) aimed to build an open historical database of Paris by extracting and analysing urban and social data from maps and trade directories spanning 1789 to 1950.