Richard Socher’s Recursive Superintelligence Exits Stealth With $650M to Build AI That Improves Itself

Recursive Superintelligence emerged from stealth this week with a $650 million funding round at a $4.65 billion valuation, instantly placing it among the best-capitalized AI research labs in the world. The San Francisco and London-based startup is co-founded by former Salesforce chief scientist Richard Socher and former Google DeepMind researcher Tim Rocktäschel, with a team of more than 25 researchers and engineers drawn from OpenAI, DeepMind, Meta, Salesforce, and Uber AI.

The round was led by GV and Greycroft, with participation from Nvidia and AMD Ventures—an unusual pairing that signals both chip giants are willing to seed customers chasing the bleeding edge. “The fastest path to superintelligence will be realized by AI that recursively improves itself, and does so via open-ended algorithms that drive endless innovation,” the company said in its launch statement. Rocktäschel has invoked Stanisław Lem’s notion of an “information barrier,” arguing that human researchers can no longer keep up with the volume of scientific output and that automating the scientific method itself is the only way through.

Recursive’s plan is to start by automating AI research—training systems that can analyze their own performance, generate new architectures and training recipes, and run experiments without human direction—then extend that loop into other scientific domains. That puts it squarely in the same conceptual neighborhood as OpenAI’s superalignment work, DeepMind’s recent co-mathematician results, and Anthropic’s automated red-teaming, but with a corporate structure built around self-improvement as the explicit product rather than a side effect.

The lab has not yet published any concrete technical results, and a public launch is planned for mid-2026 as it scales compute infrastructure across its two offices. Even so, the optics of Nvidia and AMD writing checks into the same round—alongside a leadership team with a track record of shipping at Salesforce and DeepMind—will make Recursive one of the most closely watched debutants of the year. If self-improving AI works as advertised, the team building it stops needing to hire more humans; if it doesn’t, this becomes the most expensive bet yet that the bitter lesson has another chapter.