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Custom AI
Open-weight models on your servers or in a European cloud, with search across company documents (RAG), permissions respected and sources always cited.
Open source · geospatial data
Orthophotos, point clouds, 3D models and Gaussian splats: stored, viewed and shared in the cloud. Designed, built and run by Digipa.

Figures published on dronedb.app, October 2026.
The story
DroneDB was created to solve a concrete problem: drone data is huge, mixed and hard to share. Today it is an open-source platform that makes it searchable, viewable without plugins and shareable with a link or as a QGIS layer.
The project took part in Regione Lombardia’s Bando Archè 2020 for the international commercialisation of the software. The core is written in C++ under the MPL-2.0 licence; the registry in C#; the Hub interface in Vue 3.
Technologies
Features
GeoTIFF and COG, LAZ/LAS, OBJ and glTF, Gaussian splats, GeoJSON, KML, 360° panoramas.
2D maps, point clouds, 3D models and splats with nothing to install.
Distances, areas, volumes, elevation profiles, vegetation indices and thermal.
Direct links, embeds, TMS tiles and QGIS layers, OGC and STAC standards.
From a Raspberry Pi to a cloud cluster, even fully offline.
Four access levels and an admin panel.



What it brings to clients
Indexing, searching and protecting terabytes of files is the hard part of every AI project on documents.
No lock-in: open formats and public code, just as we recommend to our clients.
Releases, monitoring and support for thousands of users, every day.
Digipa AI
Indexing, searching and protecting terabytes of files is the hard part of every AI project on documents. We do it every day on DroneDB; semantic search is on the 2026 roadmap.
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Open-weight models on your servers or in a European cloud, with search across company documents (RAG), permissions respected and sources always cited.
Let’s talk
We will get back to you to arrange a first meeting, at our Milan office or online. If you prefer, call us Monday to Friday, 8:00–13:00 and 14:00–17:00 (CET).