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.
950+
AI devices cleared by regulators globally
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 a coroner, insurer, or court asks how your practice governed its AI — right now, there is no answer. Attest is that answer.
Built by someone who saw the problem firsthand
Dr Reabal Najjar, MD
Founder & CEO
Doctor of Medicine
Australian National University
1,000+ citations
Google Scholar
Radiopaedia Sub-editor
500+ articles reviewed
CAIOS Author
Submitted to JMIRO, March 2026
After years as a hospital doctor watching AI tools deployed with zero governance infrastructure, Dr Najjar published CAIOS — the first evidentiary framework defining what must be provable when AI assists clinical decisions. Attest is the platform that makes compliance automatic.
The framework
Five domains. One standard.
CAIOS defines the evidentiary requirements across five governance domains. Each domain specifies what a practice must prove.
“Every AI-assisted clinical decision should be defensible. Attest makes that automatic.”
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
The governance gap is closing
Your practice uses AI.
Can you prove it was governed?