River AI Raises $1.1 Billion to Empower Companies with Custom AI Models
River AI has secured $1.1 billion in funding led by General Catalyst and AMP PBC. NVIDIA and AMD Ventures also invested strategically, alongside Y Combinator and Temasek. Founded by Igor Babuschkin, co-founder of xAI, the company is based in Nevada and offers fine-tuning and reinforcement learning on open weight models through its API.
Key Takeaways:
- Custom AI Models: River AI aims to enable enterprises to train and own their AI models instead of relying on rented general-purpose ones.
- Efficiency and Cost Savings: They claim a complex reinforcement learning run can be completed in 15-20 minutes through their API, offering significant cost savings over closed-source alternatives.
- Open and Affordable AI: Babuschkin advocates for open AI that is freely available and affordable, emphasizing the importance of personalization and continuous learning.
- American Resilience: General Catalyst positions this investment as crucial for American leadership in AI, highlighting the need for both open weight models and maintaining a competitive edge in closed frontier models.
Company Background:
Igor Babuschkin, with a background in generative modeling and reinforcement learning at Google DeepMind and OpenAI, left Elon Musk’s company in August 2025 to found River AI. This funding round exceeded its target, with Forbes reporting a sought valuation of up to $5 billion.
Ana-Maria Stanciuc, TNW’s Editor-in-Chief, emphasizes the shift towards considering technology as a system of influence and persuasion, rather than solely focusing on launches and valuations.