E2E confidential computing
E2E verifiability
Zero-access architecture
Fit for patient data
E2E confidential computing
E2E verifiability
Zero-access architecture
Fit for patient data
E2E confidential computing
E2E verifiability
Zero-access architecture
Fit for patient data
E2E confidential computing
E2E verifiability
Zero-access architecture
Fit for patient data

Confidential AI
for healthcare.

Cut documentation time and support clinical workflows with frontier AI —
while patient data stays encrypted end-to-end.

Why confidential AI
Healthcare

Patient data deserves stronger
guarantees than a privacy policy.

Health data is the most sensitive data there is

Clinical notes, diagnoses, and lab results are special-category data under GDPR Article 9, and patients trust you to keep them private. Public AI services process this data in plaintext on their servers. Privatemode keeps it encrypted even during AI processing — enforced by confidential-computing hardware, not by policy.

No one can read along

Prompts are encrypted on the device and only decrypted inside hardware-isolated environments. Neither Privatemode nor the cloud provider sees patient data — and nothing is retained or used for training.

Relief for clinical staff, not another IT project

No GPU cluster, no ML ops. Privatemode is a managed service with chat apps and an OpenAI-compatible API — usable in minutes, also from within existing health-tech products.

Use cases

What healthcare teams build with Privatemode

Health-tech products

Build AI features into medical software via the OpenAI-compatible API while giving your customers verifiable privacy guarantees.

Clinical documentation

Turn notes and dictations into structured documentation, discharge summaries, and referral letters — without patient data ever leaving the users' control.

Report summarization

Condense long histories, lab results, and prior reports into concise overviews that speed up handovers and case reviews.

Patient communication

Translate findings into plain language or other languages so patients actually understand them — confidentially.

Comparison

Frontier AI that keeps
patient trust intact.

 

  • Data privacy
  • Compliance
  • Setup time
  • Costs

Privatemode

Cloud-grade AI with end-to-end encryption and confidential computing. Built for sectors where compliance isn't optional.

  • Hardware-enforced
  • Verifiable guarantees
  • Minutes
  • Usage-based

ChatGPT, Claude & co.

Powerful AI, but prompts and data are processed unencrypted on the provider's servers, with no verifiable privacy guarantees.

  • Contractual only
  • Limited
  • Minutes
  • Usage-based

Self-hosted AI

Full data control, but requires dedicated hardware, in-house ML ops, and ongoing maintenance.

  • Your responsibility
  • Your responsibility
  • Weeks to months
  • High upfront and recurring
FAQ

Frequently asked questions from healthcare organizations

Yes. Privatemode encrypts data on your device and only decrypts it inside hardware-isolated confidential-computing environments. No one — including Privatemode and the infrastructure provider — can access the plaintext, and nothing is stored or used for training. This architecture is built for special-category data under GDPR Article 9; your own data protection assessment still applies.

Want to see Privatemode in action?

We're happy to show you around and give an overview of what's possible.