A London AI firm has emerged from stealth with a mammoth 拢480 million funding round which values it around 拢3.5 billion.
Recursive Superintelligence, founded in 2025, is a team of former research leaders from OpenAI, Google DeepMind, Meta AI, Salesforce AI and Uber AI.
The secretive company, which has no associated members on LinkedIn, confirmed the funding deal on the social media platform. It said the round was led by GV (Google Ventures) and Greycroft, with major participation from AMD Ventures and NVIDIA.
It aims to create AI that conducts experiments on how to safely improve itself via an open-ended process of automated scientific discovery. 鈥淭his will likely be the fastest path to superintelligence,鈥� it stated.
鈥淭he excitement for what we are building has been incredible. The playbook we create will soon allow us to revolutionise every scientific discipline.
鈥淭he potential benefits for humanity of safely creating such an advance cannot be overstated.
鈥淭hroughout, we will prioritise safety. We must make sure the system helps humanity flourish by maximising the benefits while reducing risks.鈥�
Recursive, which also has an office in San Francisco, has a team of more than 25 people which it says are 鈥減ioneers in many areas that are critical to creating recursive self-improvement鈥�.
鈥淲e have helped lead major advances in open-ended algorithms, quality diversity algorithms, AI-generating algorithms, self-improving coding agents, automated red teaming and capability discovery, prompt engineering and automations of it, generating learning challenges and environments, foundational world models, deep learning in NLP, vision transformers, retrieval-augmented generation, and AI scientists,鈥� it said.
鈥淗uman intelligence was created by the open-ended processes of Darwinian and cultural evolution. Both processes grow an archive of interestingly different discoveries, and each innovation builds on those that came before.
鈥淭hese processes invented bodies, sight, simple reflexes, then reasoning, language, and science. They鈥檝e taken us from the first replicating molecule to the moon. They have no ceiling and keep innovating forever.
鈥淭he science of AI involves the same open-ended process of innovation. So far, these discoveries have been produced by human scientists.
鈥淏ut a clear trend in machine learning is that, as we get more compute and more data, hand-designed methods are replaced by AI-driven processes.鈥�