Creating personal AI owned and shaped by each individual.
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Today, we're sharing that River AI has raised $1.1 billion, led by @generalcatalyst and @amppublic with strategic investment from @nvidia and @AMD. Additional investors include @ycombinator and @Temasek.
We imagine a future where your AI works entirely for you and deeply aligns with your values. Compared to the corporate chatbots of today, it will feel completely different: responsible, curious, and truly yours. Most importantly, you'll own everything: the hardware it runs on, the data it learns from, and the intelligence itself.
Our training API is already live and powering incredible work today. This new funding accelerates our push to bring the full personal AI stack to life.
Read River AI CEO Igor Babuschkin’s (@ibab) conversation with the New York Times to learn more: nytimes.com/2026/08/11/techn…
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Congrats to the Ivo AI (@heyivoai) team on releasing Ivo Sage: an open-source frontier legal model trained on the River API. We’re excited to see customers use our API to push the open frontier forward!
At Inscribe, Ivo’s first user conference, we announced three developments advancing contract intelligence:
→ Ivo Collaborate: Run contracting from intake through negotiation, approval, and signature—with AI reading each agreement, applying legal’s guardrails, routing by risk, and capturing negotiation intelligence.
→ Ivo-Micro1 Contract Bench: A new benchmark developed in collaboration with @micro1_ai for measuring the judgment required in contract review—not just how many edits an AI makes, but whether those edits are actually effective.
→ Ivo Sage: An open-source model built in partnership with @river_ai_inc, post-trained for contract work. It went from scoring 70% on the Legal Agent Benchmark (LAB) Contracts benchmark to 91%, with comparable quality to frontier models and higher token efficiency at a fraction of the cost.
We’re releasing Ivo Sage and its research and evaluation record so others can study and build on the work.
Read the full recap: ivo.ai/blog/heres-everything…
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River AI is growing and we've published new roles in research, engineering, and operations. Check out our careers site or reach out to our team today. If you want to build the future of personal AI, join us!
river.ai/careers
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We're thrilled to announce that @Cisco_Invests is joining River AI's $1.1B round as a strategic investor. Personal, user-owned AI needs the best of product and infrastructure behind it. @jpatel41 understands both deeply and we're excited to work with him and the @Cisco team.
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River AI retweeted
We put together a $1.1B round for @river_ai_inc to build American leadership in open weights.
Frontier labs push the boundary of humanity, but open weights empower humanity, putting intelligence into everyone's hands.
@ibab has built frontier capability three times over. Now he's making it something you can own.
.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously.
Watch @htaneja in conversation with Igor.
Chapters
02:22 — Co-Founding xAI
04:36 — An AI Experience You Own
05:59 — Betting Early on Open Weights
07:47 — How Do You Make Money on Free Models?
09:25 — Why the US Needs Its Own Open Models
11:27 — Enterprises Want to Control Their AI
13:36 — What Is Continual Learning?
16:56 — An API That Updates the Weights
19:17 — A Personal AI for Everyone
20:46 — The 20-Minute Training Run
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Today, we're sharing that River AI has raised $1.1 billion, led by @generalcatalyst and @amppublic with strategic investment from @nvidia and @AMD. Additional investors include @ycombinator and @Temasek.
We imagine a future where your AI works entirely for you and deeply aligns with your values. Compared to the corporate chatbots of today, it will feel completely different: responsible, curious, and truly yours. Most importantly, you'll own everything: the hardware it runs on, the data it learns from, and the intelligence itself.
Our training API is already live and powering incredible work today. This new funding accelerates our push to bring the full personal AI stack to life.
Read River AI CEO Igor Babuschkin’s (@ibab) conversation with the New York Times to learn more: nytimes.com/2026/08/11/techn…
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How do we create amazing personal AI? Here's a recent talk from River CEO Igor Babuschkin (@ibab) sharing our vision for personal AI and continual learning.
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River AI retweeted
"As a proprietary model builder, you're kind of starting to get squeezed in.”
That's @ibab’s take on where the biggest AI labs stand today. He explains how you need the models to get way better to keep margin, but at some level they may be too sensitive to release.
This week, I sat down with Igor on Unsupervised Learning. It was a fascinating conversation with someone who has real perspective on the questions everyone in AI is asking right now.
From DeepMind's StarCraft project to early reasoning work at OpenAI to co-founding xAI, Igor has had a front-row seat to nearly every major AI breakthrough. He's now the co-founder of River AI, building individualized, locally-run AI models.
We discuss:
▪️Why proprietary model labs might be in trouble
▪️What it's like working with Elon
▪️Building Colossus in 120 days
▪️Should enterprises train their own models
▪️What’s left for humans as models get better
▪️Why he left xAI to bet on personal local AI instead
▪️The three bets River is taking
▪️What's stopping AI from moving beyond coding
▪️Reflections on the rapid pace of the past years
0:00 Intro
1:17 Writing Fiction on Where AI Is Headed
4:46 Cracking Agents Beyond Coding
10:29 Why Igor Left to Start River
12:22 River's Three Big Bets
18:06 Weights vs. Memory: The Personalization Debate
22:04 Should Enterprises Train Their Own Models?
25:10 Are Proprietary Labs Losing Their Edge?
32:16 The China Open-Source Problem
44:19 The Elon Call That Started xAI
50:18 Thoughts on Cursor Acquisition
52:16 What's Actually Bottlenecking AI
56:55 Humans, Machines, and Staying Relevant
1:01:29 Igor's Odds This All Goes Well
YouTube: piped.video/0aBTpoCX_A8
Spotify: bit.ly/4h3UJWt
Apple: bit.ly/4w0BCAs
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River API is now available to everyone.
Fine-tune and run RL on frontier open models. Fast, cheap, and scalable.
Go to console.river.ai/ to try it out!
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We've received plenty of applications for the API waitlist and have opened up access to a number of enterprises and researchers already. We're improving the API based on your feedback, and we expect to open up to the public in the next few weeks.
Introducing River API. Fine-tune and RL train leading open-source models at scale, ranging from 35B to 1T params. We’ve been using it internally to power our research and we love it. Today, we are opening up our public waitlist. Own your intelligence!
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River AI is building personal AI owned & shaped by you. We are hiring exceptional talent across the stack:
* Research
* Software Engineering
* Product Development
* Data
* Hardware, RTL Design Engineer
* Hardware, Design Verification Engineer
* Hardware, Physical Design Engineer
* Hardware, Performance Engineer
* Hardware, Compiler Engineer
* Open Application, Exceptional Talent
river.ai/careers
We are a small, elite team of researchers, builders, and pioneers from the world's leading AI labs. If you want to do the most ambitious work of your career alongside, apply today!
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Introducing River API. Fine-tune and RL train leading open-source models at scale, ranging from 35B to 1T params. We’ve been using it internally to power our research and we love it. Today, we are opening up our public waitlist. Own your intelligence!
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We are incredibly excited to announce River AI. Our mission is to create personal AI that is owned and shaped by you.
Today’s best AIs are controlled by a few large corporations. We are building the alternative: a new, personal stack for AI that works entirely for you, shares your values, and operates on your terms.
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To make this possible, we are bringing together some of the best researchers and engineers in AI. If our mission interests you, join us!
river.ai/careers.html
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