Venice crosses $100M in annualized revenue as privacy-first AI model gains traction

Venice AI, the privacy-focused generative AI platform founded by Erik Voorhees, has hit $100 million in annualized revenue run-rate. For a company that didn’t exist two years ago, that’s the kind of trajectory that makes incumbents nervous and investors salivate.

The milestone lands barely a month after Venice reported north of $70 million ARR during its $65 million Series A round, which valued the company at $1 billion.

The “forget everything” business model

Venice AI’s core pitch is simple: use any of its 200-plus AI models, and the platform won’t remember a thing about you afterward. It processes the request, delivers the output, and purges the interaction.

That policy has resonated with more than 3 million monthly active users. The platform processes millions of API calls daily, a volume that speaks to both consumer adoption and developer integration.

Voorhees, who previously founded ShapeShift and has been a prominent figure in crypto for over a decade, built Venice around the thesis that privacy and AI shouldn’t be mutually exclusive.

Venice was already profitable when it raised its Series A in July 2026. The $65 million raise from investors including Dragonfly and Coinbase Ventures was used to acquire GPUs and expand data center capacities.

The VVV token and buy-and-burn mechanics

Venice isn’t just an AI company. It’s also a crypto-native one, with revenue directly tied to an on-chain token mechanism. A portion of Venice’s revenue feeds a buy-and-burn program for VVV, the platform’s associated token. Revenue comes in, tokens get purchased on the open market, and those tokens get permanently destroyed.

The involvement of Coinbase Ventures and Dragonfly as investors adds institutional credibility to both the AI platform and the token model.

Why privacy is becoming a competitive moat

The platform’s access to over 200 AI models differentiates it from competitors that lock users into a single proprietary system. Venice functions more like an aggregation layer, giving users flexibility to choose the right model for the right task without committing to one vendor’s ecosystem.

Going from zero to $100 million ARR in roughly two years, while maintaining profitability, puts Venice in rare company. The speed of the recent jump, from $70 million to $100 million ARR in about a month, suggests Venice may be hitting an inflection point in adoption.

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