AI Engineering

Practical AI, engineered for real workflows

We treat AI as a component to design, test and monitor, not a demo. Where it saves time or improves decisions, we build it in. Where a simpler solution works better, we say so.

What we build

AI capabilities for your business

Services we design and build for clients. Where a capability already runs in one of our own products, it says so.

  • Service we build

    AI workflow integration

    Language models connected to the tools your team already uses, at the step where they save the most time.

  • Service we build

    Document processing and structured extraction

    PDFs, scans, forms and dictation turned into structured, validated data your systems can use.

  • In production: Radiora Medical

    AI-assisted reporting

    Draft reports structured from notes or dictation, for a qualified person to review and approve.

  • Service we build

    Bilingual knowledge search

    Answers found in internal documents in French and English, with the sources shown.

A grounded example

Radiora Medical: from dictation to a signed report

In Radiora Medical, a product we built, radiologists dictate from a computer, a phone or an audio file. The AI structures the dictation into a draft with Indication, Technique, Results and Conclusion.

  • The AI never diagnoses and never signs.
  • The radiologist reviews, edits, validates and signs every report.
  • Data is isolated per establishment, with a complete audit trail.
Read the Radiora Medical case study
Radiora Medical Listening

Dictation

Abdominal CT without contrast for right upper quadrant pain. Liver normal in size. No biliary dilatation. Simple two-centimetre cyst in the right kidney. Conclusion: simple renal cyst, no other significant finding.

Structured report, draft

Indication
Right upper quadrant pain.
Technique
Abdominal CT without contrast.
Results
Liver normal in size. No biliary dilatation. Simple 2 cm cyst, right kidney.
Conclusion
Simple right renal cyst. No other significant finding.
The AI drafts. Only the radiologist can validate and sign.
Illustrative example, not patient data.

How we keep it reliable

Safeguards designed in from the start

  • In production: Radiora Medical

    Human-in-the-loop approval

    High-stakes outputs stay drafts until a qualified person reviews, edits and approves them.

  • How we work

    Evaluation and quality assurance

    Test sets built from real cases; accuracy, tone and failure modes checked before launch and monitored after it.

  • In production: Radiora Medical and EduSen

    Privacy, access control and auditability

    Access control, isolation between organisations and audit trails, so every record and action can be traced.

  • How we work

    Operating-cost management

    Right-sized models per task, caching and usage limits, so the cost per request is known before you scale.

Where to start

One workflow, one number, then scale

  1. Pick a workflow and a metric

    One process and the number it should move: time per task, error rate or response time.

  2. Prove it on real cases

    A prototype tested against a set of real, anonymised examples before anyone relies on it.

  3. Roll out with oversight

    Human approval where the stakes are high, monitoring, and a cost per request you can plan for.

Have a process that takes hours every week?

Describe it in a few sentences. We will tell you honestly whether AI is the right tool.