- River AI raises $1.1 billion for enterprise AI tools.
- The company did not reveal a valuation figure.
- To support that shift, its API can complete reinforcement-learning training runs in as little as 15 to 20 minutes — no in-house infrastructure team required — at a cost the company claims is two to four times lower than closed-source rivals.
River AI, founded by xAI co-founder Igor Babuschkin, has raised $1.1 billion to develop enterprise AI tools that allow companies to train AI models on their proprietary data. The funding, co-led by General Catalyst and AMP PBC, also saw participation from Nvidia, AMD Ventures, Y Combinator, and Temasek.1
The startup's vision is to transition the enterprise market from generic AI solutions to tailored, privately owned models. Babuschkin stated, "AI should be open, freely available, and affordable. It should feel like it is working for the person using it, not the lab that trained it." River AI's API can complete reinforcement-learning training runs in as little as 15 to 20 minutes, significantly reducing the need for in-house infrastructure teams and offering costs that are two to four times lower than closed-source competitors.3
The company did not disclose its valuation, but its approach reflects a growing trend in the industry towards customizable AI solutions that meet specific organizational needs. Babuschkin's background includes significant roles at Google DeepMind and OpenAI, underscoring his expertise in generative modeling and reinforcement learning.
“The company's API can complete reinforcement-learning training runs in as little as 15 to 20 minutes without an in-house infrastructure team, at a cost it claims is two to four times lower than closed-source rivals.”
qz.com
