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Recursive Superintelligence

Also known as Recursive

United StatesScience models and AI scientistsSan Francisco, United StatesFounded 2026Private

Building AI that improves its own code, harness and training infrastructure through automated experiments, starting with the science of AI and aiming later at fields such as drug discovery, batteries and fusion.

Disclosed total$650M
Rounds on record1
Latest round$650MEarly round (unnamed) · 2026-05-13
Last stated valuation$4.65Bstated by Recursive Superintelligence; GV
Investors named4
Research on recordNone yet

Money and evidence

Moneyeach round in US dollars; ≈ converted at its date$650M
Closed round

No research by this company is on the record yet.

Rounds and research, on one timeline

  1. 2026-05-13Early round (unnamed)
    Round

    $650M$4.65B · stated by Recursive Superintelligence; GV

    For: train a self-improving system, first on the science of AI itself

    Models and platform

    GV's own post says it co-leads the 'early $650M funding at a $4.65 billion valuation' and names seven co-founders beside Socher: Tim Rocktäschel, Alexey Dosovitskiy, Josh Tobin, Caiming Xiong, Yuandong Tian, Tim Shi and Jeff Clune. Greycroft as co-lead and the NVIDIA and AMD participation are from SiliconANGLE's report of the launch.

    Co-lead · GV ✓Co-lead · GreycroftNVIDIAAMD Ventures

    On the deal: Tom Hulme (Wrote the firm's post on the investment, GV)

    The investor's own page says · GV: Co-leads the early $650M funding

Research entries are the timeline's graded entries that name this company. A level grades one claim, not the company, and a blank can mean the record has not caught up rather than that nothing was published.

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On the investors' own sites

Investors that name this company on their own site, in a portfolio or their own announcement. A ✓ in a round marks the same investor.

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