Hardware development is undergoing a rapid reindustrialization, shifting from fragmented, manual testing to software-defined, data-driven workflows. Nominal founders Cameron McCord and Jason argue that the industry lacks a centralized system of record, forcing engineers to rely on siloed, local data management that hinders iteration. By providing a unified platform for hardware telemetry and sensor data, Nominal enables continuous testing that bridges the gap between simulation and real-world performance. This infrastructure is essential for the emerging field of physical AI, where agentic systems can automate validation and optimize testing cycles. Projects like the U.S. Air Force’s CIPHR effort demonstrate this transition, moving from deterministic test matrices to dynamic, physics-informed models. Ultimately, these advancements aim to transform hardware engineering by enabling a single engineer to manage complex systems with the speed and scalability previously reserved for software development.
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