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Ricursive Intelligence is a Palo Alto frontier AI lab using artificial intelligence to compress the slow, expensive process of semiconductor design. Founded in late 2025 by Anna Goldie and Azalia Mirhoseini, the co-creators of Google's AlphaChip, the company is building an end-to-end AI model that designs, verifies and closes silicon, aiming to create a recursive loop where AI designs better chips and those chips train better AI. It raised $335M across seed and Series A rounds, reaching a $4B valuation roughly two months after launch.
Miranda Wang is the co-founder and CEO of Novoloop, a climate-tech materials company turning hard-to-recycle polyethylene waste into virgin-quality performance plastics. She started the venture as a Vancouver high-schooler after a field trip to a waste transfer station, gave a TED talk at 19, and has since built a chemical-upcycling process (ATOD) into a commercial-scale operation, earning the Rolex Award for Enterprise, a UN Young Champions of the Earth honor and the Pritzker Emerging Environmental Genius Award along the way.
MatX is a Mountain View semiconductor company building chips designed exclusively for large language models. Founded in 2022 by ex-Google TPU engineers Reiner Pope and Mike Gunter, it aims to deliver an order-of-magnitude more performance-per-dollar for frontier model training and inference than current GPUs.

Reiner Pope is the co-founder and CEO of MatX, an AI chip startup based in Mountain View, California, designing purpose-built silicon for large language models. A former Google Senior Staff Software Engineer who led AI software development for Google's TPUs and served as Efficiency Lead for PaLM, Pope left Google one week before ChatGPT launched to build what he calls 'the best chips for LLMs that physics allows.' MatX has raised approximately $604M to date, including a $500M Series B led by Jane Street and Situational Awareness LP, and is building a hybrid SRAM-HBM chip architecture targeting the world's leading AI labs.

Azalia Mirhoseini is an Iranian-born AI researcher, Stanford professor, and co-founder of Ricursive Intelligence - a frontier AI lab valued at $4 billion that uses AI to design better chips, which in turn train stronger AI. Best known for AlphaChip, the deep reinforcement learning system that now designs Google's TPUs and has compressed chip floorplanning from months to hours, she also co-invented the Mixture-of-Experts architecture underpinning GPT, Claude, and Gemini. With 20,000+ citations and a $335M-funded startup launched in under four months, she is closing the recursive loop between artificial intelligence and the hardware it runs on.