Healthcare & Life Sciences
Patient data (PHI) is the most strictly protected data class globally. Public AI endpoints are fundamentally incompatible with HIPAA and equivalent frameworks.
PHI cannot touch a public endpoint
Public AI endpoints can't touch PHI, and clinical AI infers things it was never explicitly told — leaving you unable to show a regulator the difference between fact and inference.
Regulatory Drivers
- •HIPAA / HITECH (US)
- •GDPR (EU)
- •EMA Regulations
Frontier capability, governed by architecture
Run models on your own hardware, so PHI stays inside your network. Hosted models are an option you switch on, not a condition of use.
Analyse unstructured clinical data locally, with architectural controls that provide structural support for HIPAA obligations.
Trace every inference back to its source for clinical and regulatory review.
Automate medical coding and charting securely within the hospital network.
What you can now prove to a regulator
- Keep patient data inside your own environment, with the boundary enforced by the architecture rather than by policy alone.
- Show provenance for every clinical AI output.
- Produce structural evidence that supports HIPAA / HITECH and GDPR obligations.
Bring governed AI to your healthcare & life sciences teams.
Request a briefing to discuss your specific regulatory and architectural requirements.
Request a Healthcare & Life Sciences Briefing