Venice AI has officially joined the unicorn club after closing a $65 million Series A funding round that values the company at $1 billion. The investment was led by Dragonfly Capital with participation from Coinbase Ventures, F-Prime, North Island Ventures, Morgan Creek, and others, marking the company’s first external funding since its launch earlier this year.

Positioning itself as a privacy-first alternative in the AI landscape, Venice AI offers users access to more than 200 AI models while inserting a proxy layer that shields user data such as IP addresses, account identifiers, and session details. This privacy design is especially relevant for interactions with well-known providers like OpenAI, Anthropic, xAI, and Google, where user tracking and data sharing have become major concerns in the wake of recent lawsuits and regulatory scrutiny.

Founder Erik Voorhees emphasized that the fresh capital injection will support the company's mission to protect constitutional rights related to free speech and privacy in AI interactions. Holding the First and Fourth Amendments as guiding principles, Venice AI plans to build out its own data center infrastructure to gain control over the GPUs powering its platform, reducing reliance on costly rentals.

The new funds will also enable Venice AI to expand its user base, explore new markets, recruit additional talent, and target acquisitions that complement its privacy-oriented ethos. Currently, the platform claims around 3.5 million users who prioritize stronger control over their data when engaging with AI models.

Dragonfly managing partner Haseeb Qureshi highlighted the strategic importance of controlling AI delivery frameworks, warning that ownership grants companies intimate access to personal data and conversation histories. This dynamic, he noted, shapes who ultimately dictates the terms of engagement with increasingly powerful AI technologies.

The funding announcement arrives alongside a broader industry debate on AI transparency and privacy. Earlier this year, legal experts raised alarms about how AI-assisted consultations, including legal advice, could expose sensitive user information to courts. Ethereum Foundation researchers, along with Vitalik Buterin, have proposed cryptographic techniques like zero-knowledge proofs to safeguard user interactions with large language models.

These privacy concerns have fueled demand for platforms like Venice AI, which prioritize data protection and user autonomy in an increasingly surveilled digital environment. The company’s token value also saw a modest increase following the funding round, signaling investor confidence in its growth trajectory.