Private chat across devices
Chat with powerful AI assistants in a private workspace while conversations stay inside secure enclaves. The product is available in the browser and on iOS.
Tinfoil is a private AI platform for chat, inference, and containerized workloads, keeping data inside secure hardware enclaves across browser, iOS, and API.
Tinfoil is a private AI platform built around secure hardware enclaves. Its products are aimed at people and teams who want to use AI assistants, inference APIs, and containerized workloads without exposing conversations, requests, or application data outside an attested environment.
The site positions Tinfoil as a way to combine cloud convenience with stronger privacy guarantees. The product line includes Private Chat for private conversations, Private Inference for application builders, and Tinfoil Containers for running Docker-based workloads inside secure enclaves.
Chat with powerful AI assistants in a private workspace while conversations stay inside secure enclaves. The product is available in the browser and on iOS.
Build AI applications with an inference API that is OpenAI-compatible, open-source, and fully verifiable. The API is designed to plug into existing OpenAI-based code with minimal changes.
Run any Docker image inside a secure enclave with client-side attestation verification. Tinfoil Containers extends the same privacy model to custom workloads and services.
Get request-level encryption to an attested enclave, plus support for tool calling, vision and image analysis, document processing, and structured outputs.
Use projects, web search, generative UI, document upload, and encrypted cross-device sync to organize work inside Tinfoil Chat.
Deploy, update, and observe containerized apps with zero-downtime updates, debug enclaves, health checks, and CPU, memory, and GPU monitoring.
Use the chat product for sensitive conversations, private brainstorming, or work that benefits from a persistent workspace with projects, document upload, and encrypted sync across devices.
Build apps that need AI responses without changing existing OpenAI-oriented client code. The inference API supports tool calling, vision, document processing, and structured JSON outputs.
Deploy a Dockerized service, model workload, or internal tool inside a secure enclave when you need client-side attestation and controlled updates.
Use containers for research or production workflows that need debug environments, private registries, custom domains, and optional GPU support on Hopper and Blackwell hardware.
Tinfoil Chat runs conversations inside secure enclaves and adds encrypted sync, while the inference API is for building applications that send requests to attested enclaves through an OpenAI-compatible interface.
The source says the inference API is OpenAI-compatible and works as a drop-in replacement for most existing deployments and workflows.
Yes. Tinfoil Containers is designed to run any Docker image in a secure enclave, and the site also describes support for private images, debug environments, zero-downtime updates, and health monitoring.
The site states that Tinfoil Chat is available in the browser and on iOS, and that Secure Sync can keep encrypted backups across devices.
The source does not provide a full public list of model providers or pricing tiers for every product, so specific model availability and exact plan details should be confirmed on the relevant product or pricing page.