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Hardware & Compute3 min read

Ricursive Intelligence aims to cut chip design cycle from years to weeks

Ricursive Intelligence, founded by former Google researchers Anna Goldie and Azalia Mirhoseini, is building AI that can design semiconductor chips and learn from each iteration. The startup says its system could shrink the typical two‑to‑three‑year chip‑design timeline to a matter of weeks, potentially speeding the hardware pipeline that powers ever‑more capable AI models.

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Key points

  • Ricursive Intelligence raised $335 million, including a $300 million Series A, at a $4 billion valuation; Nvidia is an investor
  • Co‑founders Anna Goldie and Azalia Mirhoseini previously built AlphaChip at Google, which generated chip layouts in hours
  • The startup aims to shrink chip design cycles from two‑to‑three years to weeks using AI that learns across designs

Goldie and Mirhoseini previously co‑led AlphaChip at Google, an AI tool that generated chip layouts in hours and contributed to multiple generations of Google’s Tensor Processing Units. They launched Ricursive in late 2025 and, within four months, raised $335 million—including a $300 million Series A—at a $4 billion valuation, with Nvidia among the investors. The founders will discuss their approach at TechCrunch Disrupt 2026, highlighting a feedback loop where AI‑designed hardware enables stronger AI, which in turn can design better hardware.

Full story from TechCrunch AI · by TechCrunch EventsOpen source ↗

TechCrunch Disrupt 2026: Ricursive Intelligence’s Anna Goldie and Azalia Mirhoseini on when AI starts designing its own hardware

TechCrunch AI · 25 September 2026

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This text was published by TechCrunch AI and written by TechCrunch Events. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Ricursive IntelligenceGoogleNvidiaAnthropicGoogle DeepMindAnna GoldieAzalia Mirhoseini

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