Tinfoil

Encrypted AI with verifiable privacy

Y CombinatorSpring 2025ActiveB2BSecurityArtificial IntelligenceDeveloper ToolsSecurityPrivacy

What they do

Problem

Organizations cannot safely run sensitive AI workloads in the cloud without risking exposure of prompts, data, and model interactions to infrastructure providers or insiders.

Solution

A full-stack confidential-computing platform on NVIDIA GPUs that encrypts AI workloads end-to-end and provides verifiable privacy guarantees that queries and data cannot be accessed or logged.

Who it's for

Enterprises and developers building AI applications that handle sensitive data and need provable privacy in cloud deployments.

Founders

Tanya Verma

Founder

Co-founder @ Tinfoil | Systems, Cryptography and AI @ Cloudflare | CubeSats & CS @ UIUC

Jules Drean

Founder

Jules has an MIT PhD in secure hardware and confidential computing. He has industry experience working at Microsoft Research and NVIDIA on the technologies underlying Tinfoil. During his PhD, Jules has built secure enclaves from the ground up and studied how to attack and defend these systems against advance microarchitectural attacks. His work also looked at using trusted hardware to securely deploy advanced cryptographic primitives such as FHE and MPC.

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