CLINICAL_AI_WORLD
HIPAA-aligned AI
with diagnostic guardrails.
THE_PAIN
AI models are stochastic. Healthcare is deterministic. These don't mix without governance.
- • AI could accidentally provide medical diagnoses
- • PHI leaks through model outputs or logs
- • No cryptographic proof of what the AI actually said
- • Compliance teams can't audit AI interactions
Clinical AI World makes AI safe for healthcare by enforcing diagnostic guardrails and HIPAA-aligned controls. The AI can assist, but it can't diagnose—because the laws won't allow it.
Full world page in development
We're building out the complete Clinical AI World experience with:
Diagnostic Guardrails Demo
Watch AI try to diagnose → DENIED BY LAW
PHI Protection
See how PHI is blocked from logs and model outputs
HIPAA-Aligned Controls
Configurable controls aligned with HIPAA requirements
What you get
Diagnostic Guardrails
AI cannot provide medical diagnoses. The system enforces this before any output is delivered to the user.
PHI Protection
Protected Health Information is blocked from logs, model outputs, and any unauthorized access points.
Emergency Escalation
AI automatically escalates to a human when emergency symptoms are detected. Patient safety is enforced, not suggested.
Audit-Ready Receipts
Every AI interaction yields a cryptographic receipt. Prove what the AI said, what laws applied, and whether it was allowed or denied.
WHO_IT'S_FOR
Healthcare CIOs
Compliance Officers
Clinical Informatics
AI Product Teams
NEXT_STEP
Put governed execution between AI output and real-world action.
Start with one workflow. Review what AI proposes, approve what should run, and keep a verifiable audit trail from day one.
Designed for teams that need speed, control, and evidence in the same system.
See the proof first. Expand into a live workflow when it fits.
Review AI-generated work with controlled execution and receipts.
Add governance, approval, and auditability before output reaches production.
Bring verifiable audit trails into regulated or business-critical workflows.
Run the proof demo and verify the evidence path yourself.