AI reads, classifies and extracts data from your documents

We configure OCR and NLP models to recognise your document types, extract the relevant fields and classify automatically. Expected accuracy depends on the document: 96 to 98% on structured invoices, 92 to 95% on handwritten forms or degraded scans. The choices are documented during the software architecture phase and a human-validation loop is added on low-confidence cases.

Processed documents automatically feed your business tools: ERP, CRM, business software, document base. Validation workflows guarantee the quality of extracted data before writing to the database. For large volumes, we process in nightly batches; for real-time flows (contract signing, client upload), processing kicks off the moment the document arrives.

The budget depends on the number of document types, business connectors and the validation workflow. Upfront scoping lets us prioritise document types with the MoSCoW method rather than tackling everything at once. The free first scoping gives you a first range for your case, with no commitment.

For a first document type in production with real users, expect 8 to 12 weeks. A multi-type platform with semantic search and dashboards takes 4 to 6 months. We ship a first usable version on a sample of 50 to 100 documents to measure real accuracy, rather than promising 99% in theory based on a POC.

Mindee, Klippa and Rossum are SaaS OCR solutions: strong on standard documents (invoices, receipts, IDs) with fast onboarding and per-page pricing. They hit a ceiling as soon as you need to handle a non-standard business format, plug the output into your business software with specific rules, or control the cost when volume goes past several tens of thousands of pages per month. A custom solution becomes the right call past that threshold or when your documents follow logic those tools don't properly cover.

We develop a first functional version of your application to quickly test your idea. This prototype allows you to present it to your users, gather their feedback and adjust the product before investing in full development.

We develop your solution following agile principles with short sprints and regular demonstrations. Each feature is rigorously tested before integration. Code is peer-reviewed and documented to ensure quality and maintainability.

Once your application is live, we ensure its hosting on secure and high-performance infrastructure. We remain available for corrective maintenance, functional improvements and continuous optimization of your solution.