The problem you're facing
Hundreds of documents arrive daily in variable formats: scanned PDFs, emails, photographed forms. Your teams read, type, verify : time-consuming, repetitive work prone to entry errors.
Our answer
We build an extraction pipeline adapted to your documents: intelligent reading (advanced OCR + document understanding), data structuring, consistency checks and direct feeding of your systems.
What LaMeDuSe AI takes care of
- Multi-format ingestion: PDF, scans, email, photos
- Business field extraction with confidence scores
- Automatic consistency checks
- Human validation only on low-confidence cases
- Feeding your systems (ERP, accounting, DMS)
- Traceability: every extracted field linked to its source
- Extraction and error rate measurement
Our methodology
- 1
Existing process analysis
Measuring the current state: time spent, error rates, friction points. The baseline serves as a measurable reference.
- 2
Targeted prototyping
A prototype on your real data, evaluated with your business teams : not on a generic benchmark.
- 3
Supervised rollout
Progressive go-live, human oversight on ambiguous cases, continuous gain measurement.
- 4
Industrialisation
Scope extension once value is proven, with documentation and team training.
Technologies
Security & compliance
Data processed within the European perimeter, minimisation before sending to models, complete logging and no reuse for training.
Hosting
Hosted on the group's European infrastructure : datacenters in France, Germany and Switzerland.
Maintenance
Production quality tracking, model and pipeline tuning, support by the build team.
Why LaMeDuSe AI
We process our own document flows with these techniques, on European infrastructure: the pipeline we deploy for you is the one we use.
Frequently asked questions
Invoices, purchase orders, contracts, mail, forms, ID documents, statements : including variable-quality scans, photographs and native electronic formats. The POC evaluates your real documents.
Every extracted field carries a confidence score: high-confidence fields go automatic, others escalate to a human validation interface showing the document next to the extracted data. The automation rate improves over time.
Yes: processing on European infrastructure, minimisation, encryption and no reuse for training. For the most sensitive documents, extraction can run fully self-hosted.
Yes: document understanding models handle multilingual, including mixed documents. Specific formats (regulatory documents, sector standards) are scoped in the POC.