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
THE SO WHAT
Capital is flowing into sim-first approaches for physical AI—Antioch’s $32M bet is that high-fidelity virtual worlds can substitute for billion-dollar real-world data collection. If you’re building robots or physical agents, your cost curve may be decided by your simulation stack as much as your hardware.
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