Venice Raises $65 Million to Build Private, Surveillance-Free Access to AI Models

Venice Raises $65 Million to Build Private, Surveillance-Free Access to AI Models

Business | The Vault — AI Edition | July 13, 2026

For two years, Venice grew into a $1 billion company almost entirely off its own revenue, without a single dollar of outside capital and without much notice from Silicon Valley. This month it collected both at once. The privacy-focused AI startup, run by crypto entrepreneur Erik Voorhees and Seattle serial founder Jesse Proudman, raised a $65 million Series A led by Dragonfly at a $1 billion valuation — its first external fundraise, and a bet that a growing slice of the world wants access to frontier AI without handing over a permanent record of everything it asks.

The deal

Venice announced the round on July 1, 2026. Dragonfly, a crypto-focused investment firm, led the financing, with participation from Coinbase Ventures, F-Prime, North Island Ventures, Archetype, Morgan Creek, Liquid2 Ventures and Seattle-based Founders' Co-op. It is the first outside money the company has taken since Voorhees founded it in 2024, and it vaults the roughly two-year-old startup to unicorn status.

The structure reflects Venice's crypto roots. Beyond an equity stake reported at 8.98%, investors also received a vesting grant of 1.5 million VVV tokens — Venice's native cryptocurrency — plus warrants to buy another 5 million VVV over the next eight years. The VVV token lets developers lock up holdings to reserve a share of Venice's computing capacity rather than paying per use, tying the company's fundraising, product and token economy into a single loop.

Venice says the proceeds will go primarily toward building its own compute infrastructure — buying GPUs and standing up its first data center — so it can stop leasing capacity and widen gross margins, along with hiring and a push to become a mainstream consumer brand.

What Venice actually does

Venice offers a single interface to more than 200 frontier and open-source AI models across text, image, video and audio. The pitch is not that it builds better models than OpenAI or Anthropic, but that it handles your data differently — by not handling it at all.

The company says it never logs prompts. Conversations are stored locally, on the user's own device, rather than on Venice's servers; user input is encrypted client-side and routed through an external proxy before it is processed and returned. The design goal is to leave no central trove to breach, subpoena or sell. Venice also strips out many of the content filters built into competing tools, billing itself as "private and unrestricted."

"Intelligence, the lifeblood of civilizational advancement, is becoming a collaboration between man and machine," Voorhees said in the company's announcement. "Venice's mission is to protect it from mass surveillance and censorship."

Proudman, Venice's president, CTO and co-founder, frames the risk in terms of what users increasingly type into chatbots. "It only takes one breach, one disgruntled employee who is going through that data, a government subpoena, a change in government policy — and then all of that data no longer is private to you," he told GeekWire. "It can be health records, it can be legal questions, it can be job negotiations, it can be relationship advice."

Numbers behind the valuation

Unlike many AI startups minted as unicorns on story alone, Venice arrived with revenue. The company reports annualized run-rate revenue above $70 million and says it turned profitable in the first quarter of 2026. It serves 3.5 million registered users, processes 1.3 trillion tokens per month, handles about 2 million API calls per day at peak, and draws roughly 850,000 to 1 million unique visitors monthly. Headcount has grown to about 45 employees, up from roughly 15 a year ago.

"That hockey stick that we always hear about, and that I've spent 25 years trying to build companies to find, finally manifested," Proudman told GeekWire.

The founders and the crypto thread

The pairing is telling. Voorhees, who runs Venice from San Francisco, founded the crypto exchange ShapeShift and the early bitcoin site SatoshiDice, and has spent years arguing against heavy government regulation of cryptocurrency. Proudman, based in Seattle, previously founded cloud company Blue Box (acquired by IBM in 2015) and crypto trading startup Strix Leviathan. The two met as classmates at the University of Puget Sound; Proudman built Venice on nights and weekends while still a VP at Betterment before going full time.

That lineage explains why a crypto-native investor like Dragonfly led the round rather than a traditional AI fund. Venice's ideological through-line — permissionless access, censorship resistance, no central custodian of user data — reads more like a decentralization thesis than a conventional SaaS story. The VVV token turns compute into a tradable, reservable resource, aligning the crypto-adjacent capital backing the company with the product it sells.

Analysis: a bet on the sensitivity of the AI layer

Venice's wager is that as AI becomes the default interface for medical, legal, financial and personal questions, the model layer becomes the most sensitive surface in a person's digital life — and that mainstream providers, which log and retain prompts, are structurally on the wrong side of that. The company casts itself as an "AI safety company," redefining the danger as surveillance of users' thoughts rather than the content of any single prompt.

The competitive landscape is real but early. Local-inference tools, on-device model runners, and privacy-oriented aggregators are multiplying, and enterprises increasingly demand zero-retention arrangements from the big labs themselves. Venice's differentiation is being both a consumer app and a developer API with a genuine no-log architecture and an unusually broad model catalog. The looser content policy is the double edge: it can make the product more useful while reopening the misuse questions that pushed OpenAI and Anthropic to build guardrails. Proudman says Venice includes some safeguards against abuse and illegal activity, but "unrestricted" is central to its brand.

The round also fits July 2026's broader funding surge and a distinct sub-theme within it — capital flowing toward privacy-preserving and decentralized AI access, where Venice was among the week's biggest raises.

What to watch next

Three things will determine whether the $1 billion price holds. First, whether Venice can convert crypto-forward early adopters into a mainstream brand that, as Proudman put it, sits "alongside" ChatGPT on a normal person's phone. Second, execution on owned infrastructure: buying GPUs and building a first data center is capital-intensive and operationally hard, and the margin thesis depends on getting it right. Third, regulatory and trust pressure — whether "no logs" survives scrutiny, subpoenas and the abuse debate that its light-touch content stance invites. The revenue is real and the growth is steep; the open question is whether privacy alone can carry a consumer AI brand to scale.

---

Sources: [Venice.ai blog](https://venice.ai/blog/venice-raises-65-million-series-a); [GeekWire](https://www.geekwire.com/2026/private-ai-venice-ai-led-by-crypto-vet-erik-voorhees-and-seattles-jesse-proudman-raises-65m/); [TechCrunch](https://techcrunch.com/2026/07/01/venice-ai-becomes-a-unicorn-with-65m-series-a-as-its-privacy-first-ai-platform-takes-off/); [The Block](https://www.theblock.co/post/406934/venice-ai-funding-equity-valuation-dragonfly); [The AI Insider](https://theaiinsider.tech/2026/07/09/venice-ai-closes-65m-series-a-at-1b-valuation-betting-on-privacy-focused-uncensored-ai-access/); [Crunchbase News](https://news.crunchbase.com/venture/).