Physical Superintelligence

Physical Superintelligence

AI-driven physics discovery engine for breakthroughs

Overview

Physical Superintelligence builds an AI-powered discovery engine to accelerate breakthroughs in physics. Its core product, GDP (Get Physics Done), is an open-source agentic AI physicist that scopes problems, plans research, performs derivations, and verifies results to move ideas toward validated insights. PSI describes a vertically integrated factory for physical superintelligence that combines theorist-like reasoning, computational-physics validation, and experimental testing, guided by a shaped-charge model to focus on challenging physics targets. Its goal is to discover and commercialize significant physics breakthroughs while ensuring broad public benefit as a Public Benefit Corporation.

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About Physical Superintelligence

Simplify's Rating
Why Physical Superintelligence is rated
C-
Rated C on Competitive Edge
Rated C on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Consulting

Enterprise Software

AI & Machine Learning

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

Sunny Isles Beach, Florida

Founded

2025

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Simplify's Take

What believers are saying

  • Alex Wissner-Gross announced PSI publicly on February 15, 2026, attracting attention and recruits.
  • Open-source GDP launched in June 2026, creating distribution and community feedback loops.
  • Backers including SV Angel, Valkyrie, Balaji Srinivasan, and OpenAI leaders validate the thesis.

What critics are saying

  • PSI remains stealthy; no disclosed customers, revenue, or published scientific wins by August 5, 2026.
  • Hiring security and partnerships roles signals enterprise ambitions before product-market proof, inviting dilution.
  • If physics discoveries fail to monetize quickly, compute burn and talent costs can kill PSI.

What makes Physical Superintelligence unique

  • PSI targets new physics, not generic enterprise AI, as of February 15, 2026.
  • GDP open-sources agentic physics workflows, from problem scoping to derivation verification.
  • Boston-San Francisco hiring spans physicists, engineers, and commercialization roles under one thesis.

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