Physical Superintelligence Launches with $58M Seed Funding to Revolutionize Physics

Yahoo Finance ·

On September 1, 2026, Matt Pines, Alex Klokus, and Dr. Alexander Wissner-Gross launched Physical Superintelligence (PSI) in Cambridge, Massachusetts, to build the world's most advanced physics lab powered by virtual physicists. PSI secured $58 million in seed funding led by Breakthrough Energy Ventures, with participation from Dragon Global, Robot Ventures, Solari, Susa, SV Angel, Valkyrie, Balaji Srinivasan, Anthony Scaramucci, and individual investors from OpenAI, NVIDIA, SoftBank Energy, Oracle, Hugging Face, JUMP Capital, and the a16z Scout Fund. PSI is commercializing its core platform, Emmy, for terrestrial and orbital data center optimization. Additionally, PSI serves as the founding technical partner for the Fermi Explorer Mission, the first AI-planned interstellar mission to Alpha Centauri.

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PSI, an advanced physics research institute based on virtual physicists, officially launched by securing a $58 million seed investment. Led by Breakthrough Energy Ventures, figures related to NVDA and ORCL also participated in this investment to promote data center optimization and space exploration projects. As the commercialization of technology combining AI and physical simulations accelerates, the ripple effects on related infrastructure and technology sectors are drawing attention.

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The $58 million in seed capital secured by PSI will be directly injected into research on optimizing data centers and space exploration through its virtual physicist platform Emmy. AI-based physical simulations form a causal relationship that maximizes infrastructure efficiency by solving complex multi-physics problems such as power and cooling.

The bullish scenario is the surging demand and cost reduction for related infrastructure companies driven by the commercialization of data center efficiency solutions, while the bearish scenario is the delayed commercialization of virtual research achievements. Key monitoring indicators are data center optimization efficiency and the scope of large-scale simulation applications.

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