AI startup Ineffable Intelligence raises $1.1 billion in seed round at $5.1 billion valuation

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AI startup Ineffable Intelligence, founded by former DeepMind researcher David Silver, raised $1.1 billion in a seed round at a $5.1 billion valuation. Sequoia and Lightspeed co-led the round, with NVIDIA, Google, and the UK government also participating. The company is developing an AI system that learns autonomously without human-generated data. Amid growing interest in AI and crypto news, the funding comes as inflation data remains a key macroeconomic concern for investors.
CoinDesk reports:

Ineffable Intelligence, an AI startup founded by David Silver, former researcher at Google DeepMind, has raised $1.1 billion in seed funding, achieving a $51 billion valuation and becoming one of the largest AI startup funding rounds this year.

Sequoia Capital and Lightspeed Venture Partners co-led this funding round, with participation from NVIDIA, Google, Index Ventures, and the UK government, further demonstrating that top-tier scientific entrepreneurs continue to attract substantial capital.

Ineffable Intelligence states that the company’s goal is to create a "super learner"—an AI system capable of autonomous learning without relying on human-generated data. The company compares the potential significance of this goal to Darwin’s theory of evolution in its mission statement, stating, "Successful realization would represent a scientific breakthrough of equal magnitude."

This funding round reflects the market's intense enthusiasm for top-tier scientists in the AI field. Investors are competing to back new AI labs led by renowned computer scientists, even when these projects have only been established for months and lack a clear path to commercialization—yet capital interest remains undiminished.

From AlphaGo to "Super Learners"

David Silver is renowned in the field of artificial intelligence for his research in reinforcement learning—a method that enables AI agents to make decisions through repeated trial and error.

He was a key figure in DeepMind’s AlphaGo project, the first AI system to defeat a human world champion in the game of Go, sparking a new wave of AI development and demonstrating the technology’s potential to solve highly complex problems. Silver also serves as a professor at University College London.

Ineffable Intelligence stated that the company will base its research on reinforcement learning to develop AI systems capable of discovering new knowledge from their own experiences, rather than relying on pre-existing human data for training.

Backed by top-tier venture capital and government funding

This round of financing includes leading venture capital firms and sovereign wealth funds.

Led by Sequoia Capital and Lightspeed Venture Partners, participation from NVIDIA and Google further underscores the interest of tech giants in the reinforcement learning trajectory. The UK government is also involved through the British Business Bank and the recently established £500 million (approximately $678 million) Sovereign AI fund.

Joséphine Kant, Head of Sovereign AI Ventures, stated: "There are very few founders globally who can credibly claim to be building a superlearner—a system that discovers new knowledge from its own experiences rather than human input—and David is one of them."

The "New Lab" funding surge: Scale has already ranked among the top

Ineffable Intelligence’s funding is a microcosm of this year’s surge in AI “new lab” initiatives.

According to Bloomberg, such startups have raised billions of dollars in total since the beginning of this year, with Ineffable Intelligence’s current funding round ranking among the largest for newly established companies.

Former Meta chief scientist Yann LeCun has raised $1 billion for his new startup, AMI Labs; researcher Richard Socher is currently in funding negotiations with investors for his new lab, targeting a $4 billion valuation.

This landscape shows that, against the backdrop of rapid AI advancement, the research backgrounds and technological convictions of top scientists are sufficient to support multi-billion-dollar early-stage valuations—even when specific products and business models remain unclear.

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