ResCon Technologies employs Machine Learning to create digital twins of complex dynamical systems.  Our approach achieves stunning fidelity using minimum power and data, making it compatible with edge computing hardware.  This enables model training directly on the edge in real-time without the need for a cloud connection or enormous datasets.  Edge-hosted digital twins provide our customers with advanced data analysis, adaptive control, and predictive health and status.

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ResCon Technologies

ResCon Technologies' headquarters in Columbus, OH, United States

Brian Gyovai

Daniel Gauthier

Andrew Pomerance

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Daniel Gauthier

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