Antioch, which creates high-fidelity simulations to reduce the need for hardware validation in physical AI training, raised a $32M Series A led by Greylock (John Koetsier/Forbes)

Antioch, a startup that builds high-fidelity simulations to replace hardware validation for physical AI training, secured a $32 million Series A round led by Greylock. OpenAI announced that an internal model, described as far more capable than GPT-6 Astra, solved the Navier-Stokes existence problem using 10,000 concurrent agents over 88 hours, sparking controversy over alleged use of external researchers’ prompts.