Venice is the rare DeAI project that's actually a product people use, with billions of LLM tokens processed daily through private, uncensored inference. Now with verifiable E2EE and TEE privacy modes powered by NEAR and Phala. Built by Erik Voorhees with no VC funding, no presale. We cover the four privacy modes, the E2EE encryption architecture, uncensored models, VVV token economics, and the centralisation trade-offs.