Privacy has become the product. That's the bet Erik Voorhees is making with Venice AI, which just closed a $65 million funding round at a $1 billion valuation, its first outside capital since launching.
For anyone who has felt uneasy about ChatGPT logging every prompt, storing conversation history, and feeding that data back into model training, Venice AI's pitch is direct: your conversations stay on the platform, private by default, with no data sold to advertisers and no corporate surveillance baked into the backend.

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What Venice AI is actually building
Venice positions itself as an uncensored, private alternative to the dominant AI assistants. Where OpenAI's ChatGPT and Google's Gemini operate as cloud-based services that retain user data, Venice runs inference in a way that keeps conversations away from third-party data pipelines. The platform supports text, image generation, and code assistance, covering the same core use cases that have made ChatGPT a daily tool for millions.
Voorhees is best known in web3 circles as the founder of ShapeShift, the crypto exchange that famously pivoted to a decentralized model. His track record with privacy-forward, user-controlled products is the through-line here. Venice AI is essentially the same philosophy applied to AI: give users control, remove the middleman, and build trust through transparency rather than corporate policy documents.
The before-and-after of AI privacy expectations
A year ago, the conversation around AI privacy was mostly theoretical. Users accepted data collection as the cost of access to powerful models. The alternatives were either self-hosted open-source tools requiring serious technical setup, or smaller platforms without the model quality to compete.
The calculus is shifting. Regulatory pressure on data practices has increased across multiple markets. High-profile incidents involving AI platforms retaining sensitive user data have made privacy a real selling point rather than a niche concern. Venice AI is raising $65 million at exactly the moment that mainstream users are starting to ask questions they weren't asking 18 months ago.
That timing is deliberate. The $1 billion valuation signals that investors see a genuine market opening, not just a contrarian bet.
Why this matters beyond the web3 crowd
Venice AI has roots in the crypto and web3 community through Voorhees' background, but the product itself is not a blockchain application. There are no tokens required to use it, no wallet connections at the door. The privacy architecture is the feature, and it's designed to appeal to anyone who uses AI tools daily, not just users already comfortable with decentralized platforms.
The key here is that Venice is competing on user experience and trust, not ideology. If the platform can match the output quality of ChatGPT while offering a credible privacy guarantee, the addressable market is enormous. That's the argument the $65 million raise is funding.
For gamers and creators who use AI tools to write scripts, generate art concepts, or debug code, the pitch is practical. Your game ideas, your unreleased project details, your creative work, none of it becomes training data for a competitor's model. That's a real value proposition for anyone building something they care about protecting.
Curious about other platforms where your in-game activity and rewards stay in your control? Check out our guide on how to earn $GHST in Gotchi Guardians for a look at how web3 gaming handles player ownership differently.
Venice AI's next move will be proving that $65 million can close the quality gap with the incumbents fast enough to convert users before the big platforms add their own privacy tiers. For more on what's happening across gaming and tech, our guides hub has you covered on the tools and platforms worth paying attention to right now.








