‘Own Your Intelligence’: xAI Co-Founder Babuschkin’s River AI Raises $1.1B

Most companies using AI today run general-purpose models — trained on the whole internet and built for the broadest possible audience, not for any one organization. New startup River AI wants to invert that: an AI “that knows you, works for you, and — above all — that you own.”

River AI has raised $1.1 billion across its Series Seed and Series A, co-led by General Catalyst and AMP PBC, with strategic investment from chip giants NVIDIA and AMD Ventures, plus participation from Y Combinator and Singapore’s sovereign fund Temasek.

Founder and CEO Igor Babuschkin co-founded Elon Musk’s xAI and built its large-scale training supercluster; before that he worked on generative modeling and reinforcement learning at Google DeepMind and led large-scale training at OpenAI. “The way AI is built today is not how it will be built in the future,” he said. “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.”

Start with ‘models developers own’

The grand vision starts with tools for developers and enterprises. River’s core product, the River API, delivers LoRA fine-tuning and reinforcement learning for frontier open-weight models. Where building a custom model once required a dedicated infrastructure team, specialized hardware, and months of work, River says an enterprise can finish a complex RL run in 15–20 minutes with no infra team, at two-to-four times the cost savings of closed-source alternatives. Trained models deploy instantly, and billing is metered strictly on training and inference tokens — eliminating idle-GPU cost.

River’s ambition goes beyond the API: rather than aligning one model to billions of users, it wants to align AI to each individual — and eventually build the full stack, including new hardware that lets personal AI “live close to you, running for you rather than in someone else’s data center.” “American leadership in AI urgently requires leadership in open-weight models,” said General Catalyst CEO Hemant Taneja, calling River’s philosophy of putting ownership of intelligence in users’ hands “on the right side of history.”

A crowded race to ‘own the open weights’

The push to train and own your own models is already a battleground. Fireworks AI raised $1.5 billion and open-source AI cloud Together AI raised $800 million at an $8.3 billion valuation, both providing fine-tuning and inference for open-weight models. Add Mistral AI and a Meta that has begun reopening its own models, and an “open-and-own” camp is taking shape. River joins that infrastructure race — but bets bigger on the endgame of AI that individuals personally own. The question is whether “an AI you own” becomes real demand against the powerful general-purpose models from OpenAI, Anthropic, and Google.