Elder Research built predictive maintenance machine learning models to determine hydro generator component failure risk to enable preemptive maintenance.

Elder Research provided machine learning models using implanted medical sensor data to identify abnormal activity that are predictive of the disease.

Elder Research developed risk models that predicted well freezes with 70% accuracy, enabling targeted well intervention to reduce freeze remediation cost.