Private AI.
Freedom of Thought.

Zero-Access means only you can read or reconstruct your AI data. Our infrastructure enforces that neither Tresor nor model providers can view plaintext inputs, outputs, documents, chat history, or memory.

A Zero-Access TEE (Trusted Execution Environment) is a protected hardware enclave that runs model inference while keeping data encrypted to everyone outside the enclave. Tresor and model providers only see sealed (encrypted) blobs—never your readable prompts, documents, or outputs. Keys stay outside provider reach, so even infrastructure admins cannot peek inside.

Data is encrypted at rest and in-use inside trusted execution boundaries. Keys remain under your exclusive control. We avoid server-side logging of sensitive content and do not retain prompts for model tuning.

You can route to leading foundation models (OpenAI, Mistral, Cohere, Meta, DeepSeek and more) while keeping a Zero-Access posture. Model choice stays abstracted behind a privacy layer.

Yes. Team features allow shared workspaces, governance, and audit trail without exposing underlying private artifacts or weakening encryption boundaries.

We plan a personal tier suitable for individual secure AI use, plus usage-based and enterprise plans with advanced controls. Pricing details will be announced prior to public launch.

Join the waitlist. We onboard cohorts gradually to validate security, performance, and developer experience before broad release.