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Document capture keeps getting more expensive, and for a public administration, a hospital or a bank, sensitive documents often cannot go to the cloud.
We built an AI solution that answers these constraints: OCR, classification and extraction handled by open source models, running entirely on your own infrastructure. No document leaves your perimeter.
It runs in production today at our clients and processes several thousand documents per day with no manual intervention.
The source code is transferred to the client: they run the solution in-house, with no vendor lock-in and no license to renew. As a result, ROI grows as volume increases.
In this session, we show the product at work: the architecture, the document pipeline, the room left for human validation, and how we choose between local, hybrid and cloud execution depending on the project's constraints.
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