Built by a clinician who saw the gap.
No one had defined what “responsible AI governance” means in clinical practice. So we wrote the standard and built the platform.
The name
Moirai
/mɔɪ.raɪ/ · moy-rye · Greek · plural noun
In Greek mythology, the Moirai were the three Fates. Clotho who spun the thread of life, Lachesis who measured it, Atropos who cut it. They governed accountability for every mortal act, irrevocably.
Clinical AI governance asks the same question. When AI informs a clinical decision and something goes wrong, who is accountable, and how is it proven? Moirai builds the infrastructure to answer it.
Atropos (The Fates). Francisco Goya, 1820 to 1823·Museo del Prado, Madrid
One of 14 Black Paintings Goya created between 1819 and 1823, painted directly onto the walls of his home at 75, in physical and mental decline. The work depicts the classical Moirai: Atropos with scissors poised to cut the thread of life; Clotho holding a child as allegory for life’s beginning; Lachesis peering through a lens, time made visible, measuring what remains.
FDA-authorised AI/ML medical devices
FDA, Oct 2024
Zero
governance systems exist for clinical AI
The governance vacuum
Regulators clear AI devices for clinical use. They do not mandate how practices govern those devices once deployed. There is no required audit trail, no standard for oversight, no evidentiary framework connecting a clinical decision to the AI system that informed it.
When an insurer, board, regulator, or medico-legal reviewer asks how your practice governed its AI, most practices still have no evidence file. Moirai creates that file.
Origin
5Governance domains mapped
40+Auditable requirements
3 yrClinical research behind CAIOS
JMIROUnder peer review
Moirai was born from years of watching AI tools deployed in clinical settings with zero governance infrastructure. The framework was developed by a clinician-researcher who experienced the gap firsthand. It defines what must be provable when AI assists clinical decisions. Moirai is the platform that makes governance provable, mapped to RANZCR Chapter 9, AHPRA AI guidance, TGA SaMD, and the Safety & Quality Commission AI Clinical Use Guide.
The framework
Five domains. One standard.
CAIOS defines the evidentiary requirements across five governance domains. Each domain specifies what a practice must prove.
See how CAIOS maps to your practice.
Take the readiness assessment“Every AI-assisted clinical decision should be defensible. Moirai builds the infrastructure to prove it.”
What we believe
Principles, not platitudes.
Evidence over opinion
We don't do trust-me governance. Every claim is backed by artefacts.
Specificity over generality
Built for clinical AI, not general compliance. We know the difference.
Automatic over manual
If it can be automated, it should be. Manual governance doesn't scale.
Aligned with leading standards bodies
