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AI training
Hands-on courses on the tools your team actually uses, tailored to each role and documented as an AI literacy measure under the AI Act (Art. 4).
Digipa AI · 01
Open-weight models on your servers or in a European cloud, with search across company documents (RAG), permissions respected and sources always cited.
The problem
Contracts, procedures, technical manuals, tickets: your company’s knowledge is scattered across thousands of files. An internal assistant lets you query it in natural language, always showing which document each answer comes from.
The hard part is rarely the model: it is the data, the permissions and the infrastructure. That is exactly what we do every day with DroneDB, where we index, search and share terabytes of data with multi-level permissions.
Example questions
How it works
We connect the sources and index the documents, respecting who can see what.
The user asks in natural language, from the web interface or the tools they already use.
The system finds the relevant passages among the documents that user is allowed to read.
The model answers and cites its sources. If it finds nothing, it says so.
What you get
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Inventory of documents, sensitivity, permissions and hosting level for each collection.
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Models compared on your real questions, Italian included, with a reusable test set.
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On-premise GPU servers or a private European cloud, secured, with backups and monitoring.
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Search that respects permissions, answers with citations and audit logs.
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REST API, web interface, SSO and connectors to network folders, DMS and management software.
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Documentation, administrator training, managed service with periodic re-evaluation.
Where it runs
Commercial models via API, with a data processing agreement. The quickest to get started.
Models running on dedicated infrastructure in EU data centres. A balance of power and control.
Open-weight models installed on premise. No data leaves your perimeter.
How we start
30 minutes, free: use cases, available data, constraints.
One or two real use cases, with an agreed test set and success criteria.
Integration with your systems, permissions, logs and user training.
Monitoring, content updates and periodic re-evaluation of the models.
Who builds your AI
We don’t show AI case studies we don’t have. We show what we run every day: DroneDB, our open-source platform for geospatial data, where we index, search and protect terabytes of files with multi-level permissions.
Discover DroneDBFigures published on dronedb.app and GitHub, October 2026.
FAQ
No. Documents are indexed for search, not used to train the model. With on-premise hosting they never leave your servers.
Not necessarily: you can start in a European cloud and move on premise when volumes and requirements justify it. If needed, we give you concrete hardware recommendations.
Yes. Models are compared on your own questions, in Italian, before we choose.
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Hands-on courses on the tools your team actually uses, tailored to each role and documented as an AI literacy measure under the AI Act (Art. 4).
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An AI assistant on your website, WhatsApp and helpdesk that answers from your official information and hands over to a person when needed.
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Natural-language questions on your management software, CRM and databases: answers with numbers, charts and the query that produced them.
Free introductory call
A free 30-minute call with an engineer: use cases, available data and a concrete idea of timings and costs.