- Recursive Superintelligence has raised $650 million at a $4.65 billion valuation in a funding round led by GV and Greycroft, with participation from AMD Ventures and NVIDIA.
- Founded in 2025 by former leaders from OpenAI, Google DeepMind, Meta AI, Salesforce AI, and Uber AI, the startup is developing self-improving AI systems.
- The company plans a public launch in mid-2026 as it scales compute infrastructure and research operations across San Francisco and London.
London-based Recursive Superintelligence, the stealth-mode AI lab pursuing self-improving intelligence systems, has emerged with $650 million in funding at a valuation of $4.65 billion. The round was led by GV and Greycroft, with additional backing from AMD Ventures and NVIDIA, placing the company among the latest wave of heavily funded AI startups.
Founded in 2025, Recursive Superintelligence was created by a group of prominent researchers and engineers from OpenAI, Google DeepMind, Meta AI, Salesforce AI, and Uber AI, including Richard Socher, Tim Rocktäschel, Jeff Clune, Josh Tobin, and Tim Shi.
Recursive Superintelligence’s central technology approach is that the next leap in AI will come not from simply building larger models, but from automating the research process itself. The startup is developing systems capable of improving their own architecture, training methods, evaluation processes, and research direction without continuous human oversight.
The company compares its approach to biological evolution, where discoveries accumulate over time to create increasingly advanced forms of intelligence. Recursive Superintelligence aims to build software that continuously generates and refines new capabilities in an open-ended cycle. Its aims to create systems that not only learn tasks, but also independently discover better ways to learn.
This approach separates Recursive Superintelligence from many of today’s leading AI companies, which remain focused on scaling foundation models. The competitive field, however, is growing quickly. AMI Labs is exploring world models, while Ineffable Intelligence is focused on reinforcement learning. Safe Superintelligence is pursuing safety-first superintelligence research. Recursive Superintelligence, by contrast, is attempting to automate the entire AI development pipeline itself.
The company currently operates from offices in San Francisco and London and has expanded to more than 25 researchers and engineers. Looking ahead, Recursive Superintelligence plans to use the fresh funding to secure large-scale compute infrastructure and run its first “Level 1” autonomous training system. A public launch is targeted for mid-2026, with ambitions extending beyond AI research into broader scientific discovery over time.