Laudos.AI
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01Platform

The infrastructure layer for radiology reporting.

Four layers, one system. Speech, reasoning, governance, and integration — engineered together so a hospital can run its entire reporting service on a single, governed surface.

02How the stack sits in your radiology service.

Between the modality and the EHR — one governed layer, four interlocking systems.

  1. 00PACS · Modality
    external
  2. 01L1 — Speech
    laudos.ai
  3. 02L2 — Reasoning
    laudos.ai
  4. 03L3 — Governance
    laudos.ai
  5. 04L4 — Integration
    laudos.ai
  6. 05RIS · EHR · Referring physician
    external
03The four layers, in detail.

Each layer is built to be the best version of itself — and to know about the others.

  • Layer L1

    Speech

    Capture the radiologist exactly as they think out loud — accents, abbreviations, code-switching, all of it.

    • Low-latency dictation, hands-free
    • Per-radiologist acoustic profile
    • PT-BR · EN · ES, mixed in the same exam
  • Layer L2

    Reasoning

    Turn natural speech into a structured report that respects the institution, the radiologist, and the anatomy.

    • Institutional templates as first-class citizens
    • Per-radiologist memory of phrasing & defaults
    • Anatomical context validated against the exam
  • Layer L3

    Governance

    Every report is auditable, every critical finding is escalated, every model change is evaluated before it ships.

    • CRIT escalation with acknowledgement & closure
    • Versioned audit trail — prompts, edits, sign-off
    • Daily evals · regression-blocked deploys
  • Layer L4

    Integration

    Drops into the existing radiology stack. No rip-and-replace, no new viewer, no new login.

    • PACS · DICOM-SR round-trip
    • RIS / EHR · HL7 v2 · FHIR R4
    • SSO · SAML · OAuth2 · on-prem deployable
04Built on the standards your service already trusts.
  • HL7 v2
  • FHIR R4
  • DICOM-SR
  • SAML SSO
  • OAuth2
  • LGPD
  • CFM 2.314
  • CBR aligned
  • On-prem deployable