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Antioch has reportedly raised a $32 million Series A led by Greylock to develop high-fidelity simulations for physical-AI training.
Why it mattersA Techmeme summary of John Koetsier’s Forbes reporting says the technology is designed to reduce the need for hardware validation, potentially letting robotics teams test more before expensive machines enter the loop. The available account does not disclose Antioch’s customers, valuation or measured savings, so the next useful proof will be how closely its simulated results match real hardware.
Discuss: Which physical-AI tests would you trust in simulation before requiring validation on real hardware?
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