Ricursive Intelligence

Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at ricursive.com

@CadeMetz We are building a future where the rapid co-evolution of AI and hardware is a reality, and we have assembled a team of the best-of-the-best to do this - join us at ricursive.com/careers

We raised a $300M Series A to realize our vision of recursive self-improvement, starting with AI for end-to-end chip design! We sat down with @CadeMetz from NYT: nytimes.com/2026/01/26/tec…

It’s been a true pleasure working with the wonderful @guruchahal and @ravi_lsvp at @lightspeedvp, who led this round. We are also proud to be backed by an incredible group of investors, including DST (@saurabhsgupta and @yurimilner), NVentures (@ChaseOverlie), Felicis (Michelle Delcambre, @DetweilerJames), Radical (@_RobToews), 49Palms (Madhavan Ramanujam, Joshua Bloom), and @Sequoia (@stephzhan).

Thrilled to share that @annadgoldie and I are launching @RicursiveAI, a frontier lab enabling recursive self-improvement through AIs that design their own chips. Our vision for transforming chip design began with AlphaChip, an AI for layout optimization used to design four generations of TPUs, data center CPUs, and smartphones. AlphaChip offered a glimpse into a future where AI designs the silicon that fuels it. Ricursive extends this vision to the entire chip stack, building AI that architects, verifies, and implements silicon, enabling models and chips to co-evolve in a tight loop. We sat down with WSJ’s @berber_jin1 to discuss Ricursive: wsj.com/tech/this-ai-s…

Excited to announce that @Azaliamirh and I are launching @RicursiveAI, a frontier AI lab creating a recursive self-improving loop between AI and the hardware that fuels it. Today, chip design takes 2-3 years and requires thousands of human experts. We will reduce that to weeks. This will be incredibly hard. For context: Go has a search space of 10^360. A simplified version of chip placement—only one part of the design process—has a search space of 10^9000. But we are the right team to solve it. We co-founded the Machine Learning for Systems team at Google Brain. There, we built AlphaChip—an RL agent for chip placement. AlphaChip has been used to design four generations of TPUs, data center CPUs, autonomous vehicle chips, and mobile phone chips. These chips are running in data centers and devices all over the world. Our immediate goal is to dramatically accelerate chip design. Next, we plan to design chips end-to-end given an ML workload, unlocking a Cambrian explosion of custom silicon. Finally, we will close the recursive loop. We will build our own chips, train our own models, and co-evolve them on the path to superintelligence. AI designs better chips 🔄chips train better AI We sat down with @WSJ’s @Berber_Jin1 to discuss Ricursive: wsj.com/tech/this-ai-s…

We've built an exceptional team and we are growing: @annadgoldie, @Azaliamirh, @PakJiwoo, @esonghori2, @yclueecs, @DZhang50, @hao9chen. Join us at careers@ricursive.com.

We are fortunate to partner with investors who share our vision, including @Sequoia (@stephzhan), Modern Capital (@SuhailNimji, @jml_campbell), 49Palms (Madhavan Ramanujam, Joshua Bloom), and @StrikerVP (@maxgazor, @brianzhan1).

Introducing Ricursive Intelligence, a frontier AI lab enabling a recursive self-improvement loop between AI and the chips that fuel it. Learn more at ricursive.com