White paperGoverning AI agents in production: policies, human approvals and an emergency stop.Read the white paper

Solutions

AI that lightens the load of care teams, without exposing patients

Hospitals, laboratories and healthcare organizations want to cut administrative work and ease access to information, with health data that stays under their control.

At a glance

  • Data that stays with you
  • DLP and pseudonymization
  • Human validation
  • Full traceability

Your challenges

What AI must respect in your industry

  • 01 - Health data

    Health data requires suitable hosting and strict control of access and use.

  • 02 - Accountability

    An AI suggestion never replaces a professional's decision; the validation circuit must be explicit.

  • 03 - Administrative load

    Reports, letters and coding take up precious time.

Our answer

What Navin brings

  • Data that stays with you

    Deployment on the infrastructure of your choice and local models for health data.
  • DLP and pseudonymization

    Detection of personal data with Presidio, tokenization and encryption with OpenBao.
  • Human validation

    The agent proposes, the professional validates; every validation is traced.
  • Full traceability

    Who accessed which data, with which model, for which purpose.

Use cases

Concrete use cases

Examples of use cases your teams can build on the platform.
  • 01 - Record summaries

    Drafting summaries from the documents of a record, for review.

  • 02 - Letters and reports

    Assisted writing from dictation or notes, with local transcription.

  • 03 - Protocol search

    Sourced answers from internal procedures and protocols.

  • 04 - Administrative questions

    Answers to patients' questions about procedures, with referral to the right contact.

Let's talk about your use cases

An architect studies your constraints and the right topology with you.