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EXCERPT:
Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.
That assumption is now shifting.
Today, high-fidelity simulation produces synthetic training data accurate enough for production-grade AI. This is enabling perception systems, reasoning models and agentic workflows to excel in live factory environments.
OpenUSD has emerged as the connective standard that makes this practical, and the manufacturers building on it are already experiencing measurable results.
