Exploring Verifiable Data Provenance with Livy
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About This Episode
In this episode of DevNTell, Narb sits down with Chris and Saul, the co-founders of Livy, to discuss their platform for verifiable compute. Livy allows developers to deploy software into Trusted Execution Environments (TEEs), making it verifiable and ensuring data provenance. The founders explain the limitations of zero-knowledge (ZK) proofs for certain media use cases and how TEEs provide a more performant alternative for verifying data origin and processing. Saul provides a live demo of the Livy console, demonstrating how a Rust application can fetch and verify data with cryptographic attestations. They also explore future use cases, including verifiable AI output and decentralized infrastructure.
Key Takeaways
Livy enables verifiable software execution by running code inside hardware-backed Trusted Execution Environments (TEEs).
A key focus of the platform is data provenance: providing cryptographic proof of where data comes from and how it has been modified.
Livy simplifies the deployment process for verifiable applications, aiming to be the 'Vercel for TEEs'.
The platform currently supports Rust and is expanding toward language-agnostic infrastructure and GPU support for AI workflows.
Livy intends to open-source its orchestrator to remove trust assumptions and make the entire verification process transparent.
Featured Guests
Chris
Co-Founder @ Livy
Saul
Co-Founder @ Livy
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