Ricursive Intelligence Announces its Launch with $35 Million in Seed Funding

Ricursive Intelligence, the first frontier AI lab addressing the most fundamental constraint in AI progress: chip development timelines that can’t keep up with algorithmic advancement, led by Anna Goldie and Azalia Mirhoseini, announced its launch and a $35 million seed funding round led by Sequoia Capital(Stephanie Zhan), along with other investors, including Modern Capital(Suhail Nimji, Jennifer Campbell), 49Palms(Madhavan Ramanujam, Joshua Bloom), and Striker(Max Gazor, Brian Zhan). The company has onboarded some of the finest minds from the AI World, including Jiwoo Pak, Ebrahim Songhori, Yi-Chen Lu, Dan Zhang, and Hao Chen.

Current chip design takes 2–3 years, and by the time hardware is ready, algorithms have already moved ahead. This mismatch creates a deadlock that holds back the frontier. AI–chip co-evolution breaks that deadlock. Our approach compresses design cycles from years to weeks, creating a recursive loop where AI designs better chips, those chips train stronger AI, and that AI designs even better chips.

Chip design shifts from bottleneck to accelerant, letting compute and intelligence scale together and unlocking a true Cambrian explosion in silicon.

The roadmap centers on compressing semiconductor development timelines across the entire stack, enabling autonomous end-to-end chip design from workload to GDSII-clean, and establishing a continuous co-improvement loop between AI and silicon. Together, these capabilities form the foundational compute infrastructure required for frontier AI and, ultimately, ASI.