GDPR Art. 32 requires appropriate technical and organisational measures for patient data. Hardware-encrypted processing is among the strongest technical measures available, and Tresor is built to make that control verifiable on every run.
Confidential AI for healthcare teams.
Bring AI into clinical, research, and operational workflows without exposing patient data or sensitive records to a provider-accessible system.
Healthcare
Where normal AI breaks.
Healthcare teams need to use real records, but real records come with the strongest privacy expectations in the organization.
Patient confidentiality
Clinical notes, therapy records, and intake material can stay inside the same protected environment instead of being copied into a public model workflow.
Procurement and privacy review
Security and legal teams get a technical basis for evaluating AI usage instead of relying on broad vendor assurances.
Clinical and operational coordination
Care, research, and administrative teams can use one confidentiality posture instead of each team inventing its own workaround.
What teams can ship with Tresor.
Clinical decision support, medical record summarization, therapy notes, intake processing, and research assistance become practical when the plaintext stays inside sealed hardware.
Summarize clinical notes
Reduce long patient or care records into concise summaries for follow-up, handoff, or review without exporting the data to a public AI surface.
Search across records and guidance
Retrieve the relevant detail from internal documentation, research references, and approved care guidance in one secure workspace.
Draft operational and research reports
Prepare discharge material, internal updates, or research summaries while keeping underlying records inside the same protected context.
Controls that hold up under review.
The technical controls need to satisfy clinicians, privacy leads, and procurement together, not only the person writing the prompt.
Zero-access processing
Patient records, research files, and operational healthcare material stays readable only in the browser and inside attested compute, not in an operator-accessible app tier.
EU-hosted by design
Routing, storage, and execution stay aligned with European sovereignty and procurement expectations instead of backhauling work into a general public AI stack.
Signed proof on every run
Each response can be tied back to cryptographic receipts and published verification material, so security and compliance teams can check the claim themselves.
Start with one workflow.
Begin with a workflow that already has clear owners, clear records, and clear review expectations, then expand once the privacy and operational model is accepted.
01
Choose one bounded workflow
Clinical note summarization, intake processing, and internal document review are common first deployments.
02
Keep the source material inside shared projects
Organize records and conversations by team or use case so collaboration does not flatten privacy boundaries.
03
Expand only after review
Once privacy, security, and operational leads are comfortable with the technical model, the same posture can support wider usage.
Questions from healthcare teams.
Understand the technical details.
Zero-Access AI Conversations:
How Tresor Protects Your Privacy
Executive Summary
Tresor is built on a simple promise: your conversations belong to you, not us. Every message you type is protected by end-to-end encryption and processed only inside secure computing environments that even Tresor cannot inspect. Teams can now collaborate inside shared workspaces without ever handing Tresor access to their plaintext. This whitepaper explains the principles and safeguards behind Tresor’s zero-access design, showing how we deliver practical confidentiality without trade-offs in usability.
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The best of open source, isolated and verifiable in Zero-Access TEEs.
