General Catalyst leads $1.1B round into 2-month-old River AI
River is pitching personal, trainable AI agents with $1.1 billion behind a company that only left stealth in June.
The round was led by General Catalyst and AMP PBC, with Nvidia, AMD Ventures, Y Combinator, and Temasek also participating. Founder Igor Babuschkin says River wants to rebuild the AI stack around models users can train and own, rather than assistants shaped only by prompting. Its first product is an API for reinforcement learning and LoRA fine-tuning on open models, billed by token use. The company claims its neocloud can run enterprise reinforcement-learning jobs in 15 to 20 minutes without an infrastructure team. TechCrunch AI's note
The round was led by General Catalyst and AMP PBC, with Nvidia, AMD Ventures, Y Combinator, and Temasek also participating. Founder Igor Babuschkin says River wants to rebuild the AI stack around models users can train and own, rather than assistants shaped only by prompting. Its first product is an API for reinforcement learning and LoRA fine-tuning on open models, billed by token use. The company claims its neocloud can run enterprise reinforcement-learning jobs in 15 to 20 minutes without an infrastructure team. TechCrunch AI's note
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