Neurolix Protocol is a decentralized infrastructure for AI workloads on sensitive data — with hardware-enforced privacy and cryptographic proof of confidentiality, verified on-chain.
A vertical DePIN protocol built specifically for AI teams operating on regulated data — healthcare, finance, biotech, and legal.
78% of enterprises cite data privacy as the #1 barrier to AI adoption. Healthcare, finance, biotech, and legal sectors cannot use modern AI on their most valuable data because public cloud providers offer no cryptographic proof that sensitive data stays private.
Neurolix Protocol runs AI workloads inside hardware-secured Trusted Execution Environments (AMD SEV, Intel TDX). Every compute session produces a cryptographic attestation token, verified by the provider and anchored on Base L2.
In the coming years, no serious enterprise will train AI on sensitive data without cryptographic proof of confidentiality. Neurolix Protocol is building that infrastructure layer.
We document every milestone. The protocol is in active development. Every iteration and architectural decision is published openly on our Build Log.
Built on hardware guarantees, verified by cryptographic attestation, anchored on a public blockchain.
AI workloads run inside hardware-secured TEE enclaves where memory is encrypted at the silicon level. No data exposure to anyone.
Every compute session produces a cryptographic commitment hash, anchored on Base L2. Tamper-proof and immutable audit trail.
Designed for sectors where data privacy is a legal requirement. GDPR and HIPAA compliance built into the protocol primitive.
Our first proof of concept ran a real AI model inside an AMD SEV hardware enclave. Watch the demo and check the on-chain proof below.
Protocol Demo: GPT-2 inference running inside an AMD SEV confidential enclave.
If you work in regulated AI, confidential computing, or DePIN — reach out. Even if just to compare notes.