Most AI platforms route user prompts through centralized servers, logging conversations and feeding them into training pipelines. Venice AI addresses this by offering a privacy-preserving AI inference platform where queries are processed without being stored or tied to user identity. It runs open-source models on decentralized infrastructure, so neither Venice nor third parties retain conversation history. The project targets users and developers who need AI capabilities without surrendering data to a surveillance-by-default system.
Rounds
| Category | Round | Amount | Date | Investors |
|---|---|---|---|---|
| AI | Series A | $65M | Jul 1, 2026 | DDragonfly Capital Coinbase VenturesNNorth Island Ventures |