xAI联合创始人新公司River AI才创立2个月，就融资11亿美元 AI startup River AI, founded by xAI co-founder, raises $1.1B in one of the biggest early-stage rounds ever
xAI联合创始人Igor Babuschkin创立的River AI成立仅两个月即获11亿美元融资，由General Catalyst领投，主打个人可训练AI智能体，重建从训练到硬件的技术栈。 River AI, founded by xAI co-founder Igor Babuschkin, raised $1.1B two months after launch, led by General Catalyst, aiming to rebuild the AI stack for personally trainable agents.
AI初创公司River AI宣布获得11亿美元融资，投资方包括General Catalyst、AMP PBC、Nvidia、AMD Ventures、Y Combinator和Temasek。据TechCrunch报道，该公司由xAI联合创始人Igor Babuschkin创立，刚刚走出隐身模式两个月。
核心人物与投资方
Babuschkin的履历包括DeepMind和OpenAI的AI职位。领投方之一AMP PBC是一家专注于AI的投资公司，由前Andreessen Horowitz普通合伙人Anjney Midha于2026年创立，曾投资Black Forest Labs、Mistral AI、LMArena和OpenRouter等公司。
Babuschkin在发布博客中表示：“为了实现这一目标，我们相信必须从头重建整个技术栈：训练、模型、产品层，以及让个人AI贴近你生活的新硬件。”他还设想：“有能力的智能体将成为日常生活的一部分，更像是守护天使：安静地陪伴，站在你这边，帮助解决对你真正重要的事情。它们会了解你，并且属于你，而不是别人的。”
River AI已经提供API，按每百万token计费，价格取决于所使用的开放模型。该API允许开发者对模型进行强化学习（RL）和低秩适配（LoRA）微调。产品文献称，这是对提示工程的一种解药：“提示只是控制一个你不拥有也无法改进的模型，而River让你将开放模型训练成真正属于你的模型，并像任何其他端点一样提供服务。”
- 任何企业都可以在15到20分钟内完成一次复杂的强化学习运行，无需基础设施团队。
- 与闭源替代方案相比，成本节省2到4倍。
- 旨在帮助企业通过混合模型（包括开放权重）来控制AI模型的命运。
AI startup River AI has secured $1.1 billion in funding from investors including General Catalyst, AMP PBC, Nvidia, AMD Ventures, Y Combinator, and Temasek. According to TechCrunch, the company was founded by xAI co-founder Igor Babuschkin and emerged from stealth just two months ago.
Key people and investors
Babuschkin's resume includes AI roles at DeepMind and OpenAI. One of the lead investors, AMP PBC, is an AI-focused investment firm founded in 2026 by former Andreessen Horowitz general partner Anjney Midha, who backed companies like Black Forest Labs, Mistral AI, LMArena, and OpenRouter at a16z.
Babuschkin wrote in his launch blog: "To get there, we believe the stack has to be rebuilt end to end: training, models, the product layer, and new hardware that lets personal AI live close to you." He also envisions: "Capable agents will be a normal part of everyday life. Less like the assistants you call on today when you need a task done, more like guardian angels: quietly present, on your side, helping with what actually matters to you. They will know you well, and they will be yours, not someone else’s."
River AI already offers an API billed per 1 million tokens, with rates dependent on the open model used. The API allows developers to use both reinforcement learning (RL) and low-rank adaptation (LoRA) fine-tuning on the models. The product literature describes it as an antidote to prompt engineering: "Prompting steers a model you don’t own and can’t improve. River lets you train open models into ones that are truly yours — and serve them like any other endpoint."
- Any enterprise can complete a complex reinforcement learning run in 15 to 20 minutes with no infrastructure team required.
- Cost savings of two to four times relative to closed-source alternatives.
- Aims to help enterprises control their AI model destiny by using a mix of models, including open weight.
来源
- TechCrunch AI · 08-12 01:41