Student records fall under GDPR’s strictest categories. Unpublished research is institutional IP. Tresor processes both inside hardware nobody, including us, can read, with cryptographic evidence of every run. Your institution gets a defensible AI policy instead of a blanket ban.
Confidential AI for education and research.
Bring AI into research, teaching, and academic administration without exposing student data, unpublished work, or sensitive correspondence to a provider-accessible system.
Education
Where normal AI breaks.
Educational institutions want the upside of AI without normalizing shadow uploads of student records, grant material, and unpublished research.
Student data privacy
Transcripts, support notes, applications, and advising material can stay inside the same protected environment instead of being copied into consumer tools.
Research confidentiality
Teams can work with draft papers, internal datasets, and grant material without exposing the plaintext to a public AI operator.
Institution-wide governance
Security, legal, and faculty leadership get one technical posture instead of fragmented workarounds across departments.
What teams can ship with Tresor.
Research synthesis, grant writing, lecture preparation, grading support, and administrative work become usable with AI when the underlying material stays protected by default.
Search across papers and notes
Find relevant sections across reading lists, faculty notes, internal wikis, and research repositories without copying that material into a public chat box.
Draft teaching and grant materials
Prepare outlines, summaries, funding drafts, and course material while keeping internal references and student context private.
Summarize research findings
Compress long reports and working documents into usable briefs for labs, supervisors, and administrative teams.
Controls that hold up under review.
The platform needs to work for faculty, operations, and information security at the same time, without turning privacy into a manual process.
Zero-access processing
Student records, research files, and institutional 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.
Start with one workflow that already exists, usually research synthesis, lecture preparation, or administrative document review, then expand once the operating model is proven.
01
Connect the documents already in use
Start with papers, lecture notes, committee material, or institutional guidance that teams already need to search and summarize.
02
Define who can use which context
Keep projects, departments, or research groups separated so shared work does not flatten access boundaries.
03
Roll out by faculty or function
Begin with one department, lab, or administrative team, then reuse the same controls when adoption spreads.
Questions from education 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.
Powered by frontier models.
The best of open source, isolated and verifiable in Zero-Access TEEs.
