EXPERTISE

Document Intelligence, Computer Vision & voice

Extracting, understanding and using documents, images and voice in integrated processing pipelines.

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Capabilities

Capabilities

From business context and decisions through to production: understand, architect, build, secure, industrialize and evolve without artificially separating information systems, software, data, automation and AI.

  1. French/Arabic OCR

  2. Detection/rectification

  3. MRZ

  4. Computer Vision

  5. STT/TTS

  6. NLP

  7. API integration

  8. Results QA

Engineering approach

Designing what must remain under control.

Code, rules, Data or AI: technical choices serve the system’s needs.

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Engineering approach

We can use Computer Vision/OCR without an LLM when a deterministic approach is more robust.

OUR ENGINEERING

  1. Problem first

    Decisions, processes, users, data, constraints and responsibilities before tools.

  2. Production by design

    Security, performance, availability, scalability, CI/CD, observability, rebuilding and maintainability shape the architecture from the outset.

  3. Evidence before promise

    Tests, metrics, traces, acceptance criteria, Evaluation, Verification and regression testing provide evidence of quality.

Technologies

Technologies

  • ONNX Runtime
  • OpenCV
  • PaddleOCR
  • PaddleX
  • rapidfuzz
  • Rasa
  • Wav2Vec2
  • YOLO

Frequently asked questions

Frequently asked questions

Do you work with OCR and Computer Vision?

Yes. We develop Computer Vision and OCR pipelines, including bilingual French/Arabic pipelines deployed on-prem.

LET’S TALK

Let’s discuss your challenge.

A system to build or evolve?

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