Overview
Alkahest is a private LLM inference product: encrypted interaction, TEE-backed deployment, and OpenAI-compatible routes instead of a generic hosted chat wrapper.
Problem
Most hosted inference asks you to trust the operator with prompts. Alkahest is an attempt to make the privacy boundary visible — what is protected, what hardware is trusted, and where that trust ends.
What I built
Product surface for private model interaction, attestation-aware UI, and an API-shaped landing that shows chat, image, transcript, speech, video, and model routes.
Hard parts
Privacy copy is easy to fake. The hard part is making the trust model legible without turning the app into a cryptography lecture.
Result
Public site: alkahest.ai. Org: github.com/alkahest-ai. Pairs with Mystery Gift as TEE-adjacent infrastructure work.
