Sequoia and Nvidia invest in David Silver's Ineffable Intelligence at $5.1B valuation

London-based startup Ineffable Intelligence, founded by former Google DeepMind researcher David Silver, raised $1.1 billion and achieved a $5.1 billion valuation before product launch.

The company was incorporated only in November 2025, has no revenue yet, and no public roadmap. This is one of the largest early-stage bets in European AI and a rare case where investors commit $1 billion not to a ready-made service, but to a scientific hypothesis and the founder's reputation. Silver is a key figure in the history of reinforcement learning.

At DeepMind, he worked for over a decade on the AlphaGo, AlphaZero, and AlphaStar projects, and also contributed to the development of Gemini. AlphaGo itself became the symbol of a breakthrough in 2016: the system defeated world go champion Lee Sedol and demonstrated that learning through one's own experience could produce strategies that humans had not explicitly programmed. Later, AlphaZero went further: it mastered go, chess, and shogi from scratch, without a database of human games, purely through self-play.

Silver's new company is built around the same idea but on a much more ambitious scale. Ineffable Intelligence wants to create a so-called superlearner — a system that acquires knowledge and skills not through reading human texts, but through interaction with the environment. The bet is on reinforcement learning: the model should learn through trial and error, gradually accumulating experience and improving its behavior.

In Silver's logic, this is an alternative to the current mainstream, where almost all leading labs rely primarily on large language models and massive datasets of human data. Silver's argument is that LLMs, however powerful, remain limited by the corpus of human knowledge. They can scale, combine, and accelerate what is already known, but are less suited to discovering something fundamentally new.

He previously formulated this position together with one of the leading RL theorists, Richard Sutton, in a work on the "age of experience," where the authors argued that the next source of progress would not be a static dataset, but continuous learning from one's own experience. For this, according to Silver, complex simulations are needed in which agents can explore the world, cooperate, and develop new strategies without human guidance. In essence, this is not about a conversational chatbot, but about a system that generates new knowledge on its own.

The round was co-led by Sequoia Capital and Lightspeed Venture Partners, with participants including Nvidia, Google, DST Global, Index Ventures, EQT Ventures, and several British development institutions. The British side separately emphasizes the participation of the Sovereign AI initiative and the British Business Bank, which announced a $20 million investment. Against the backdrop of the general excitement around superintelligence, this looks like an attempt not only to support a star scientist but also to establish London as one of the key hubs of the global AI industry.

For investors, two things matter here: Silver's track record and the counterintuitive bet on a path that runs not alongside LLMs but to a significant extent against them. For the market, this is a signal that the race for the next generation of AI is increasingly less about building another language model. Money is beginning to flow into riskier, more fundamental approaches with no revenue, no ready product, and no clear monetization horizon.

If Silver is right, Ineffable Intelligence could become one of the companies that define the architecture of the post-LLM era. If not, this round will remain an expensive reminder that in AI today, investors are willing to pay dearly not just for results, but for a compelling scientific vision of the future.