In this episode, we spoke with Jules Drean, co-founder of Tinfoil. Main topics we discussed:

- Why privacy matters more in the age of cloud AI

- Tinfoil’s architecture: inference in secure enclaves with built-in attestation

- Performance vs. privacy tradeoffs between FHE, MPC, and TEEs

- Verifiability via transparency logs and reproducible builds

- A UX-first approach to private AI, integrating Tinfoil with a single line of code

- First users: personal AI agents and regulated industries like healthcare and finance

- How Tinfoil enables proprietary model protection alongside user privacy

- Expansion beyond inference: future plans for fine-tuning and training in enclaves

Links

Tinfoil's Website: https://tinfoil.sh/

Tinfoil's Twitter/X: https://x.com/TinfoilAI

Twitter: ⁠⁠⁠⁠⁠⁠⁠https://x.com/Ingo_zk

YouTube: ⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠