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Founders Mentioned

Jesse Proudman

Venice AI

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Jesse Proudman

Venice AI

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July 4, 2026
AiPrivacy TechBlockchain InfrastructureSeries ACrypto Native Ai

Venice AI Hits $1B Valuation With Privacy-First AI on Base Blockchain

Erik Voorhees' crypto-native AI platform raises $65M Series A led by Dragonfly, reaching profitability with $70M run-rate and Claude Fable 5 integration amid AI regulation shifts.

Venice AI Hits $1B Valuation With Privacy-First AI on Base Blockchain

The AI model had been live when it vanished. Claude Fable 5, Anthropic's latest creation, disappeared from Venice AI's platform around mid-June after U.S. export controls threw a wrench into the crypto-native startup's operations. That it returned on July 1—the very day Venice announced a $65 million Series A that valued the company at $1 billion—was either remarkable timing or a calculated bit of theater.

Either way, the milestone marks an unconventional achievement for Erik Voorhees, the former ShapeShift CEO whose latest venture has managed something rare in the collision of crypto and artificial intelligence: actual revenue. Real users. And now, apparently, unicorn status.

Dragonfly led the round, with checks from Coinbase Ventures, North Island Ventures, F-Prime, and a handful of others. It's the first outside money for Venice since Voorhees and co-founder Jesse Proudman launched the platform on Coinbase's Base blockchain, positioning it as a privacy-first alternative to mainstream AI services.

A Startup That's Actually Making Money

Venice claims it turned profitable in the first quarter of this year. The company says it's now running at more than a $70 million annual revenue clip as of July 1, 2026—a figure that, if accurate, would make it something of an anomaly in a field littered with cash-burning startups chasing scale.

The platform hit 3 million users in April 2026 and as of July 1, 2026 processes around 1.7 million API calls daily. Monthly, that translates to roughly 850,000 unique visitors accessing what Venice says is a catalog of more than 200 AI models spanning text, image, video, and audio generation.

All this with a team of about 45 people working remotely. Six of them are based in Seattle, where Proudman—a local tech veteran whose previous companies Blue Box, Strix Leviathan, and Makara were acquired by IBM, Parataxis, and Betterment—runs technical operations as CTO.

Those numbers, particularly the profitability claim, will likely draw scrutiny. AI infrastructure isn't cheap, and Venice's commitment to privacy and encryption presumably adds overhead. But if the figures hold, they would suggest the company has found something elusive: a business model that works without relying solely on venture largesse.

Tokens, Warrants, and a Hybrid Bet

The deal structure itself reads like a Choose Your Own Adventure for investors trying to navigate the uncertain terrain where traditional startups meet tokenized protocols.

Backers received 8.98% equity in Venice the company. They also got a vesting grant of 1.5 million VVV tokens and warrants to buy 5 million more over eight years. Both the grant and the warrants come with strings: a one-year lockup, then a three-year linear vest.

If the warrants get exercised in full, they'd inject another $66.5 million or so into Venice's coffers, bringing the total potential haul to around $131.5 million. Not a bad cushion, assuming the token maintains value and investors choose to pull the trigger.

Voorhees told investors the company deliberately chose to sell equity rather than dip into its VVV token treasury. Venice still holds north of 30 million VVV from a circulating supply that exceeds 80 million. The company has been buying back and burning tokens using revenue, a move designed to create deflationary pressure.

Building an Owned Stack

Digital illustration for article section "Building an Owned Stack" in "Venice AI Hits $1B Valuation With Privacy-First AI on Base Blockchain" - A minimalist, conceptual illustration of a towering, elegant stack of modern server blocks represent...

So what does Venice plan to do with the capital? GPUs. Data centers. The kind of owned infrastructure that might insulate the company from both margin pressure and the ongoing squeeze in AI compute capacity.

Right now, Venice leans on leased compute, a common enough arrangement but one that eats into profitability and leaves the company vulnerable to capacity crunches. Buying and operating its own hardware would theoretically address both problems, though it's a capital-intensive gamble.

The rest of the money will flow toward market expansion, potential acquisitions (Voorhees didn't specify what kind), hiring, and the usual customer growth playbook.

What sets Venice apart, at least in theory, is its privacy architecture. The platform uses client-side encryption and what it describes as a "no logs" system that routes user inputs through anonymous proxies when accessing closed models from OpenAI and Anthropic. For open-source models, Venice hosts them directly, often in uncensored form. End-to-end encryption is available on paid tiers, though the specifics of which models support it remain somewhat opaque.

It's a pitch aimed squarely at users skittish about Big Tech's data appetites. Whether that's a large enough market to justify a billion-dollar valuation is another question.

Two Tokens, One Ecosystem

Digital illustration for article section "Two Tokens, One Ecosystem" in "Venice AI Hits $1B Valuation With Privacy-First AI on Base Blockchain" - A conceptual, minimalist illustration of two distinct circular tokens resting harmoniously within a ...

Venice operates two distinct tokens on Base, Coinbase's Ethereum Layer 2 network. VVV functions as the ecosystem's primary utility and capital asset. DIEM, meanwhile, represents something more novel: a tokenized daily AI compute credit.

Each DIEM equals $1 per day of API credit in perpetuity. It's minted by locking staked VVV, creating an interlocking system where one token derives value from the other. In April, Venice introduced programmatic VVV burns tied to new subscriptions, adding another deflationary mechanism.

The VVV token launched with 100 million in initial supply. Half went to users and the community via airdrop. Venice kept 35%, with 10% earmarked for incentives and 5% for liquidity. Last March, the company burned 33.5 million unclaimed airdrop tokens—a move that trimmed supply but also suggested the airdrop didn't generate the engagement Venice might have hoped for.

Annual emissions have been ratcheted down over time, dropping from 10 million to 8 million to 6 million by February of this year.

The Claude Saga

Back to Claude Fable 5, which became something of a litmus test for Venice's resilience.

Anthropic released the model on June 9. Venice integrated it shortly after. Then U.S. export controls kicked in, and the model disappeared. Community chatter suggested frustration, perhaps a bit of panic.

On July 1—funding announcement day—Fable 5 quietly returned. Community posts on July 2 and 3 confirmed the restoration, with users reporting the model was live again after restrictions were lifted.

The coinciding timing raised eyebrows. Was Venice holding the restoration for maximum PR impact? Or did the Commerce Department simply move faster than anyone expected? The company hasn't said, and it probably doesn't need to. In startups as in politics, perception often matters more than intent.

Venice has also been building out developer tools, integrating with OpenRouter, Warden, Brave Leo, and Fleek. Recent releases include an x402 Client SDK for USDC micropayments on Base, an Agent Skills repository, and Venice CLI—all aimed at making the platform stickier for the developer crowd that tends to drive adoption in AI tooling.

Whether Venice can sustain its momentum as competition intensifies and regulatory scrutiny around both AI and crypto continues to tighten remains an open question. But for now, at least, Voorhees has built something that's generating real revenue in a space where that's hardly guaranteed.

And the investors betting on a token-equity hybrid? They're wagering that privacy, decentralization, and profitability can coexist. That would be a rare trifecta indeed.

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