dragonfly

The privacy AI track produced another unicorn: Venice AI raises $65 million Series A, led by Dragonfly and backed by Coinbase Ventures, with a post-money valuation jumping straight to $1 billion.

More than the fundraising amount, what’s worth focusing on is its fundamentals:

• Founded just two years ago, with monthly active users exceeding 3 million
• About 1.7 million daily API calls
• Annualized revenue over $70 million—and it’s already profitable
• Focused on on-device encryption, not retaining data, “uncensored,” and integrating 200+ open-source and closed-source models

This round of funding isn’t intended to be burned on customer acquisition; instead, it’s going to buy GPUs and build data centers, shifting from rented compute to owned compute to directly improve gross margins. This is a new script for crypto VCs betting on AI—don’t chase the narrative, chase cash flow.

With both Dragonfly + Coinbase Ventures backing it, it also signals that “privacy + anti-censorship AI” is becoming the next infrastructure direction recognized by the crypto community. As centralized foundation models increasingly resemble a black box, the imagination space for this track is only just beginning to open.

#AI #隐私计算 #Dragonfly

Dragonfly managing partner Haseeb steps in to clarify the VVV controversy.

Key points made clear:
· Venice is a centralized company, not a decentralized network
· VVV does not represent company ownership or equity—don’t treat it like a "stock"
· Actual use: pledge and mint DIEM to obtain Venice’s AI inference computing power and Pro privileges
· The company will use business revenue to buy back and burn VVV
· Venice’s early funding was via traditional equity financing; founders would not give away equity for free to token holders

In plain terms, VVV is a certificate for "access to computing power + buyback and deflation," not an equity proxy. This positioning may not be as exciting to people trying to profit from the company’s growth premium, but at least the boundaries are clear—better than vague statements that leave the market to speculate on its own.

Whether buyback and burn can hold up the valuation ultimately depends on Venice AI’s real revenue trajectory. The value anchor of $VVV lies in compute demand, not in equity fantasies.

#VVV #VeniceAI #Dragonfly

The VVV controversy has finally been officially addressed by a big player.

Dragonfly managing partner Haseeb Qureshi personally recorded a video to clarify the Venice project:

1. Venice is a centralized company, not a decentralized network—don’t try to apply DAO logic to it;
2. The VVV token does not represent any company ownership or equity. The founders will not give equity away for free to token holders;
3. VVV’s real use case is to stake and mint DIEM, to obtain the right to use Venice’s AI inference computing power, along with benefits tied to the Venice Pro product;
4. The company will use business revenue to buy back and burn VVV, following a deflationary path.

In other words: VVV is essentially a “computing power usage voucher + a buyback-and-burn deflation model,” not an equity token. Venice is following the traditional equity financing route; just this July, it raised a $65 million Series A led by Dragonfly.

My take: This clarification actually spells out the blurred area around AI + tokens. Retail users hoping to profit from subsidiary company earnings can wake up—but if Venice’s inference business can truly scale, the double-support logic of buyback-and-burn plus a genuine demand for computing power isn’t weak. The key is how fast Venice’s actual revenue grows.

For centralized AI companies issuing tokens, the market is still figuring out the pricing. $VVV

#Venice #AI代币 #Dragonfly

Venice AI completes a $65 million Series A round, with post-money valuation officially entering the $1 billion club. Led by Dragonfly, with participation from Coinbase Ventures.

What truly surprised me isn’t the valuation, but its fundamentals:
· 3 million+ monthly active users, 1.7 million average daily API calls
· $70 million+ in annualized revenue, already profitable
· Integrates 200+ open- and closed-source models, focusing on “unreviewed + end-to-end encryption + no data retention”

This round of funding isn’t for burning on advertising—it’s for buying GPUs, building its own data centers, reducing reliance on rented compute, and bringing the gross margin back under its own control. This is a classic “AI infrastructure as heavy assets” play.

Crypto VCs are heavily backing a privacy AI platform, and the signal is pretty clear: the narrative of data sovereignty + resistance to censorship is spilling over from the Crypto-native circle into the mainstream AI application layer. As ChatGPTs become increasingly “compliant,” the survival space for products like Venice is actually expanding.

Two follow-up variables worth watching: the capital expenditure pace for building data centers, and whether it will eventually move toward tokenization or deepen integration with on-chain identities.

#AI #隐私计算 #Dragonfly

Venice AI raises $65 million Series A, and its valuation jumps straight to $1 billion. Dragonfly leads the round, with Coinbase Ventures as a co-investor. This lineup basically signals that the crypto industry is making a major bet on the “privacy AI” narrative.

What I care about more is the fundamentals: 3 million+ monthly active users, about 1.7 million daily average API calls, $70 million in annualized revenue, and it’s already profitable. Among AI projects that burn cash to tell a story, such a cash-flow structure is quite rare.

The product logic also hits a real pain point: it integrates 200+ open-source and closed-source models, and focuses on unmoderated access, client-side encryption, and not retaining data. As centralized services like ChatGPT face tightening compliance and content rules, the user base willing to pay for “privacy + freedom” is growing.

The use of proceeds from this round is also worth looking at separately. It’s using the money to buy GPUs and build data centers, rather than continuing to rent. That suggests it wants to keep the gross margin for itself. In the long run, it looks more like an AI infrastructure company than a shell application.

The takeaway for the crypto industry is equally clear: if Web3 wants to cut into the AI pie, simply relying on token launches and compute narratives isn’t enough anymore. A combination like Venice’s—“privacy + real revenue + owned infrastructure”—may be the template that can unlock mainstream capital in the next phase.

#AI #隐私计算 #Dragonfly

$TRADOOR

After a straight drop from 0.61 to p.49 $Tradoor is printed a reversal sign in the 15 min chart. Buyers should be happy to see this ...
You can see a #Dragonfly

AI has not caused a 'DeFi hacking apocalypse'; Dragonfly partner says

- The total value stolen and the average hack size are decreasing compared to 2025.
- This suggests that the 'AI-caused hack doomsday' is a false alarm, according to Haseeb Qureshi, a managing partner at Dragonfly.
- Security measures and monitoring have improved, helping to mitigate AI-related risks in DeFi.

#DeFi #AI #CryptoNews #Dragonfly #Security

$btc $eth

vlikevn Titanbot

Source: CoinTelegraph