Tinfoil

Founded by Tanya Verma; Jules Drean; Sacha Servan-Schreiber; Nate Sales in 2024

A platform that lets you run AI models privately in cloud hardware enclaves — so even the provider and cloud can’t see your data.

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour for basic chat or inference API)

You can use Tinfoil when you need strong privacy & verifiability for sensitive AI use cases. It enables inference and chat via secure hardware enclaves (including NVIDIA confidential computing GPUs), guarantees zero data retention and zero data access, and lets you verify that the code/devices are authentic. Great for applications handling proprietary code, private content, or regulated data, without giving up the scale and speed of cloud deployment.

What Tinfoil does

Run AI chat privately with no data retentionUse an inference API that's compatible with OpenAI-style endpointsDeploy open-source or custom LLMs under privacy guaranteesVerify that the model code & environment are what they claim to be (remote attestation)Use confidential hardware (secure enclaves / trusted execution environments) for inferenceBuild applications or copilots with proprietary data without risk of exposureGuaranteed zero trust: provider + cloud cannot access private user dataSecure enclaves for both CPU and GPU (confidential compute hardware)Remote attestation of code & environment (verifiable privacy)Open-source SDKs & tooling for inference & verificationSupport for large modern open source models under private inferenceReasonable performance / low overhead despite strong privacy guarantees