Ricursive Intelligence Advances AI-Driven Chip Design in Palo Alto

Ricursive Intelligence, based in Palo Alto, California, is developing technology that integrates artificial intelligence with semiconductor design processes. The company’s approach focuses on creating a continuous feedback system between AI models and chip hardware.

Founded by Dr. Anna Goldie and Dr. Azalia Mirhoseini in December 2025, Ricursive Intelligence aims to automate and optimize the entire chip design cycle. The company’s stated mission is to co-evolve AI systems and hardware, allowing AI to design chips that subsequently support the development of more advanced AI models.

Both founders have backgrounds at Google Brain, Anthropic, and DeepMind, bringing experience from leading AI research organizations. Prior to founding Ricursive Intelligence, they developed AlphaChip at Google Brain, a reinforcement-learning agent designed for chip floorplanning tasks.

Ricursive Intelligence’s platform is designed to reduce the time required for semiconductor design. According to the company, its technology seeks to shorten chip development cycles from the standard two to three years to only a few weeks.

What the numbers show

• Ricursive Intelligence was founded in December 2025
• The seed funding round totaled $35 million
• The company’s valuation at the time of funding was $750 million

The company’s funding round was led by Sequoia Capital, which supported Ricursive Intelligence with a $35 million investment. This early-stage financing valued the company at $750 million, reflecting interest in its approach to combining AI and hardware design.

Ricursive Intelligence’s platform uses artificial intelligence to automate each step of the semiconductor design process. The system establishes a feedback loop, where AI models inform chip design and the resulting hardware is used to train more advanced AI systems.

The company is headquartered in Palo Alto, California, and operates with the goal of accelerating innovation in both AI and semiconductor technology. Its founders’ previous work on AlphaChip demonstrated the potential for reinforcement learning to improve chip layout efficiency.

Ricursive Intelligence’s stated aim is to enable a cycle of improvement between AI and hardware, with the expectation that this approach will enhance both fields. The company continues to develop its platform to support faster and more efficient chip production.

* This article is based on publicly available information at the time of writing.