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General Catalyst leads $1.1B round into 2-month-old River AI
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River AI, founded by xAI co-founder Igor Babuschkin, raised $1.1B in a seed/Series A round led by General Catalyst and AMP PBC to build a full-stack platform for personally trainable AI agents using open models.
River offers an API with RL and LoRA fine-tuning on open models, claiming complex RL runs in 15 to 20 minutes with no infrastructure team at two to four times the cost savings over closed-source alternatives. The funding scale for a two-month-old company is notable, but only one feed is carrying this story, so the details and technical claims lack independent corroboration.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
River AI provides an API billed per million tokens supporting reinforcement learning and LoRA fine-tuning on open models, positioning itself as an alternative to prompt engineering.
The company claims enterprises can complete complex RL runs in 15 to 20 minutes without an infrastructure team, at two to four times the cost savings relative to closed-source options.
Only one feed is reporting this event, so the funding amount, investor list, and performance claims are uncorroborated by independent sources in the provided material.
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