Venice AI has secured a $65 million Series A investment at a $1 billion valuation, marking the privacy-focused startup’s first external funding round. Announced Wednesday, the round was led by crypto venture firm Dragonfly, with participation from Coinbase Ventures and North Island Ventures. Founded just two years ago by entrepreneur Erik Voorhees, Venice AI has rapidly scaled to 3 million active users, 850,000 unique website visitors, and an average of 1.7 million daily API calls. The company reports profitability with annualized run-rate revenues exceeding $70 million. The platform distinguishes itself by offering access to over 200 open and closed-source AI models while prioritizing user privacy. All client-side input is encrypted and routed through an external proxy before processing, ensuring no conversation data is retained on Venice servers. Voorhees frames the service as a neutral infrastructure layer, drawing direct parallels to Bitcoin protocol design. He argues that constant corporate surveillance of AI interactions poses a greater societal risk than unfiltered user queries. The platform supports text, image, audio, and video generation, with customizable AI characters and minimal content restrictions, positioning itself as a freedom-oriented alternative to mainstream chatbots. Investor interest aligns closely with Voorhees established background in digital privacy and cryptocurrency. The founder previously launched Bitcoin gambling platform Satoshi Dice and cryptocurrency exchange ShapeShift, consistently advocating against mandatory user identification. This philosophical overlap is reflected in Venice tokenomics. The company introduced the VVV token in January and added DIEM last August. Users can stake VVV to mint DIEM, which yields daily AI credits valued at $1. Despite the crypto integration, only approximately 8 percent of payments are processed via digital tokens. Voorhees attributes the platform sustained growth to achieving feature parity with leading commercial models rather than token incentives alone. Venice AI plans to allocate the new capital toward acquiring dedicated graphics processing units and constructing proprietary data centers. The strategic shift aims to reduce reliance on leased infrastructure, thereby improving gross margins and expanding service capacity. The funding announcement underscores a broader market shift, where demand for sovereign AI access and data sovereignty is driving substantial venture capital into privacy-preserving generative technology.