Ex-Google Researcher Secures $1.1B Funding for AI Startup

David Silver, a former head of reinforcement learning at Google DeepMind and professor at University College London, has secured a landmark $1.1 billion seed round for his new London-based AI startup, Ineffable Intelligence. The deal values the company at $5.1 billion and marks the largest seed round ever raised in Europe, underscoring the intensity of investor competition in the race toward advanced artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners, with additional backing from Nvidia, Google, Index Ventures, DST Global, and the U.K. government’s Sovereign AI Fund. Nvidia’s venture arm alone reportedly contributed at least $250 million, reflecting strong industry conviction in the company’s direction despite its early stage.

Founded in late 2025, Ineffable Intelligence has not yet released a product, generated revenue, or published a detailed roadmap. Still, it has quickly attracted elite researchers, including several former DeepMind colleagues such as Wojciech Czarnecki, Lasse Espeholt, and Junhyuk Oh. At the center of the company’s mission is what Silver calls a “superlearner,” an AI system designed to acquire knowledge entirely through its own experience rather than relying on human-generated data. Silver describes the ambition in striking terms, saying the goal is to “make first contact with superintelligence” and build systems capable of discovering everything from basic motor skills to advanced scientific and economic principles independently.

Silver’s vision is rooted in reinforcement learning, a field he helped advance over more than a decade at Google DeepMind, where he led breakthroughs behind AlphaGo, AlphaZero, and AlphaStar. These systems famously demonstrated that AI could surpass human expertise in complex games by learning through self-play rather than imitation. AlphaGo’s 2016 victory over a world champion Go player marked a turning point in AI history, while AlphaZero later expanded the concept to multiple games using only self-generated experience. Silver now argues that this same principle can be scaled far beyond games into real-world intelligence.

This approach stands in contrast to the dominant strategy used by large language model developers, who train systems on vast datasets of human text. Silver has been openly critical of this method, comparing human-generated data to a “fossil fuel” that enables rapid progress but is ultimately finite. In his view, reinforcement learning offers a “renewable fuel” for intelligence—systems that learn continuously from interaction with environments rather than static historical data. He argues that without grounding in real-world experience, AI systems risk developing increasingly sophisticated but fundamentally limited understandings of reality.

A key part of Ineffable Intelligence’s proposed approach involves placing AI agents into complex simulations where they can interact, adapt, and develop behaviors over time. Silver suggests this would allow researchers to observe how intelligence evolves in controlled environments, including how agents cooperate or compete. Supporters such as Lightspeed’s Ravi Mhatre believe this could also help address alignment challenges, since behaviors can be studied directly rather than inferred from human data alone.

The scale of the funding reflects broader trends in the AI industry, where multiple former researchers from major labs are launching well-funded startups aimed at achieving artificial general intelligence or superintelligence. Investors such as Sequoia Capital’s Sonya Huang point to Silver’s track record as a uniquely strong indicator of potential success, citing his foundational work in reinforcement learning. Meanwhile, U.K. officials, including Science and Technology Secretary Liz Kendall, have framed the investment as evidence that Britain is positioning itself not just as an adopter of AI, but as a global creator of it.

Silver, who has stated he plans to donate any personal financial gains from the company to high-impact charities, views the effort as a scientific mission rather than a commercial one. Despite the scale of ambition, he maintains that building superintelligence is ultimately about discovering new forms of knowledge that could reshape science, technology, and society itself.

Works Cited

“DeepMind Researcher Raises $1.1B for New AI Venture.” Yahoo Finance, 27 Apr. 2026, https://finance.yahoo.com/sectors/technology/articles/deepmind-researcher-raises-1-1b-154450275.html.

Silver, David. “David Silver’s Ineffable Intelligence: Reinforcement Learning Push.” WIRED, 2026, https://www.wired.com/story/david-silver-ai-ineffable-intelligence-reinforcement-learning/.

“Ex-Google DeepMind Researcher Secures Record $1.1B Seed Round.” CNBC, 27 Apr. 2026, https://www.cnbc.com/2026/04/27/deepmind-ineffable-intelligence-record-seed-funding-nvidia-google.html.

“David Silver, AlphaGo Creator, Leads New AI Superintelligence Push.” Forbes Images,

Forbes, https://specials-images.forbesimg.com/imageserve/672326cebcecab861ba3cb9b/960x0.jpg.

“David Silver Portrait and DeepMind AI Research.” WIRED Images, WIRED, https://media.wired.com/photos/69eba31172fa130deff56162/16:9/w_2496,h_1404,c_limit/Man-Behind-Alpha-Zero-Business-DavidSilver-2.jpg.