Abstract: The PID controllers are widely used in industries for nearly a century due to its simplicity, flexibility and efficiency. Recently, the control of non-linear processes in the industries have turned the attention towards the intelligent controllers such as genetic algorithm tuned PI controllers, neural networks based controller, predictive controller, fuzzy logic controller, adaptive controller, etc. This study focuses on the design and implementation of neuro tuned PI controller for the non-linear conical tank level process. A conical tank is a highly non-linear process due to the variation in the area of cross section of the level system with change in shape. In this research, neuro tuned PI controller is designed for the control of non-linear process to ensure the exact level maintenance. The results are obtained by servo, regulatory, servo-regulatory operation for the non-linear conical tank process. For this research, neuro tuned PI controller is compared with Genetic algorithm tuned PI controller. And also, the modeling aspect of the conical tank level process in which the stability analysis of the system is evaluated through the pole zero plot and nyquist stability criteria.