Venice AI 完成6500万美元A轮融资估值独角兽,隐私优先平台崛起
评分
52精选理由
该融资事件标志着隐私优先 AI 平台的商业可行性获得市场认可,但尚未披露技术壁垒或具体客户规模。
AI 点评
「Venice AI 的隐私优先策略在 AI 热潮中开辟了差异化路径,证明了用户数据保护与商业成功可以兼得。」
速览
Venice AI 宣布完成 6500 万美元 A 轮融资,估值突破 10 亿美元成为独角兽。该平台以隐私优先为核心理念,已实现盈利,年化经常性收入超过 7000 万美元。CEO Erik Voorhees 表示,融资将用于扩展隐私保护 AI 服务,满足用户对数据安全的日益增长需求。
- Venice AI 完成 6500 万美元 A 轮融资,成为独角兽。
- 平台已盈利,年化经常性收入超 7000 万美元。
- 以隐私优先为特色,专注数据安全 AI 服务。
正文
Concerns over the impact of AI chatbots on mental health, personal safety, harassment, and disinformation have forced AI developers to implement safeguards to better control how and what their AI models are allowed to respond or do.
But concerns and worries can’t erode demand. AI offers a lot of promise, and people don’t want a faceless tech company to restrict their access to that potential. And if they can preserve their privacy while they use AI models however they want, why not?
Venice AI, which offers access to more than 200 AI models while allowing users to retain their privacy, is raking it in thanks to that demand. Just two years in, the company already has more than 850,000 unique visitors to its website, and serves more than 3 million active users and an average of 1.7 million API calls per day.
The startup hosts “uncensored,” open source models on its own data centers, and routes queries to closed-source models, such as those by OpenAI or Anthropic. All user input is encrypted and unencrypted client-side, and routed through an external proxy before it is processed and returned, with no data stored on Venice’s own systems. It also provides end-to-end encryption on some models, though you have to pay for a subscription to get that feature.
The company is already profitable, with annualized run-rate revenues of over $70 million, its CEO Erik Voorhees (pictured above, in the center) told TechCrunch during an exclusive interview.
Understandably, investors have flocked to get a piece of that traction. Venice AI on Wednesday said it had raised a $65 million Series A at a $1 billion valuation, its first external fundraise. The round was led by crypto-focused venture firm Dragonfly, with participation from Coinbase Ventures, North Island Ventures, and others.
The overlap between Voorhees, Venice’s focus on privacy, and its new crypto investors is hard to miss, especially given the CEO’s background and past work. An early bitcoin advocate, Voorhees has founded a few crypto companies, including bitcoin gambling site Satoshi Dice and cryptocurrency exchange ShapeShift, and has long advocated in favor of preserving users’ privacy.
In fact, when a Wall Street Journal investigation accused ShapeShift, which initially didn’t require its users to identify themselves, of processing millions of suspect funds, Voorhees reportedly said: “I don’t think people should have their identity recorded to catch an occasional criminal.”
He struck a similar note when asked how Venice AI thinks about offering access to AI models in light of recent cases of AI psychosis and resulting harm, saying his team treats their service as a “neutral tool or a neutral platform.”
“This is the same principle that you have in Bitcoin, where Bitcoin, as a neutral protocol, works the same way for all people,” he said. “I think it’s actually quite dangerous from a safety perspective, for the world to enter this next phase and have everyone be constantly watched. To me that is actually much more dangerous than any particular person asking a controversial question or something that might be considered bad.”
There’s a considerable focus on giving users agency, too. Users can freely choose from AI models that can generate text, images, audio, and video — all of which vary in their performance, quality, and the amount of censorship applied. The website prominently features several AI “characters” that you can customize and chat with, and the company proudly states it offers an “uncensored” experience.
“We’re optimizing for freedom and actually respecting users as adults, which is, I think, rare these days,” Voorhees said.
The founder said Venice also works on some open models’ system prompts to instruct them to answer more openly, though it doesn’t add any restrictions to the models.
Unsurprisingly, there are two crypto tokens associated with the effort. Venice launched a token called “VVV” in early January, in a bid to attract users, Voorhees said, and in August last year added another, called “DIEM.” Users can buy VVV and then stake it to mint DIEM, which generates $1 worth of AI credits per day that you can spend on Venice. However, Voorhees said only about 8% of the company’s users pay with crypto.
The founder credited the company’s growth to the good performance of the crypto tokens, though he said the strongest driver was getting close to feature parity with ChatGPT. “When we launched, we were very far away from what ChatGPT could do, but people would use us because it was private. And today, we’re very close to what ChatGPT can do […] so as we’ve closed that gap, it’s become an increasingly compelling alternative,” he said.
Looking forward, Venice AI wants to use the fresh cash to start buying GPUs and building its own data centers so it can stop leasing GPUs and increase its gross margins.
Topics
AI, ai censorship, Crypto, Dragonfly, erik voorhees, Exclusive, Fundraising, generative ai privacy concerns, Venice AIWhen you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Ram Iyer
Editor
Ram is a financial and tech reporter and editor. He covered North American and European M&A, equity, regulatory news and debt markets at Reuters and Acuris Global, and has also written about travel, tourism, entertainment and books.
You can contact or verify outreach from Ram by emailing ram.iyer@techcrunch.com.
View Bio
November 4
Boston
Last chance to save up to $190 on TechCrunch Founder Summit. Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle.
Savings end June 26, 11:59 p.m. PT.
Most Popular
-
Chevy built an all-American EV truck — why is nobody buying it?
-
Mark Zuckerberg tells staff that AI agents haven’t progressed as quickly as he’d hoped
-
Jersey Mike’s IPO illustrates how bad the AI hype has become
-
After $18B IPO, Bending Spoons founder says success comes from minimizing luck
-
-
-
Flipper Device’s new Busy Bar is a customizable display for productivity
相关条目
89
精选OpenAI研究:AI正在重新定义工作边界
如果你关心AI对实际工作的影响,这篇研究不容错过。它不讨论理论,而是用数据展示ChatGPT用户如何使用AI扩展自己的任务范围,这对HR、管理者以及每个希望提升技能的职场人都有直接启发。
87
精选OpenAI CFO 分享构建 AI 原生财务职能的五大经验
作为编辑,我认为这篇文章的价值在于它来自 AI 领军企业的财务一把手,而非外部咨询机构,因此更具实践参考性。推荐给财务数字化负责人、CFO 以及对 AI 转型感兴趣的从业者阅读。
87
精选智能体AI时代下的科学计算:OpenAI发布新领域报告
这份报告是当前AI agent热潮中最务实的应用分析之一,尤其适合计算生物学和药物研发领域的从业者阅读。它回答了“AI agent除了写代码还能干什么”这个关键问题,直接展示了在复杂科学计算中的生产力提升。
87
精选Real World VoiceEQ:量化语音AI的人类自然度
值得关注的是,这个基准真正聚焦'人类自然度'这个软指标,而不是传统的语音识别率或MOS评分。对从事语音合成、语音克隆或语音交互的团队来说,这是一个非常实用的参考工具,可以快速定位模型在情感、韵律等层面上的不足。不过目前支持语言有限,期待后续扩展。
85
精选OpenAI 推出AI时代记分卡:衡量投资回报的新方法
这篇博文直击当前AI行业的软肋——如何量化投入产出。对于正在或计划大规模部署AI的企业决策者而言,它能帮助避免盲目跟风。我个人建议结合自身业务场景尝试定义“有用工作”,避免指标设计流于形式。
85
精选代理时代如何管理AI投资:聚焦每美元有用功与高价值工作流
这篇文章对正在大规模部署AI代理的企业尤为重要。它提醒我们:单纯盯着API价格下降会陷入误区,真正要管理的是每单位工作的投资回报率。建议CTO和CFO联合阅读,并在内部建立量化评估机制。
85
精选设计能跟上AI的组织:组织延迟成为最大障碍
这篇文章真正值得关注的是提出了一个被忽视的瓶颈:技术再强,组织跟不上也是白搭。对CTO、CIO和转型负责人来说,这是比技术选型更重要的思考框架。
84
精选OpenAI宣布与美国能源部和国家实验室合作,推动前沿AI加速科学发现
这不仅是技术合作,更是AI国家战略的里程碑。对关注AI政策与科学创新的读者,值得细读框架设计。