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PredictiveIQ develops highly predictive Physics Informed AI Solutions that Accelerate Engineering Design, Enhance Asset Performance, and Optimize Fleet Operations of Cyber-Physical Systems. Physics Informed AI utilizes advanced neural architectures and physics informed machine learning techniques, giving it broad predictive capability while being data efficient. This capability can be deployed, embedded, on-edge or on-cloud, providing our customers with real-time actionable decision-making. A leading application for this capability is Predictive Maintenance Digital Twins, which can be applied in industries such as: Defense, Mining, Transportation, Oil & Gas, Agriculture, Marine, Automotive, and Aerospace. For more information about PredictiveIQ and our mission of engineering the performance of cyber-physical systems, visit https://www.predictiveiq.com/.

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Juan Betts is the CEO of PredictiveIQ.

7 people are employed at PredictiveIQ.

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