Bankruptcy prediction models are one of the most sought-after tools in financial decision making performed by pioneer financial institution. Evolution in computation technique have ushered an era where Artificial Intelligence (AI) and machine learning form the backbone of bankruptcy prediction models. However, use of more recent training algorithm like artificial neural network and random forest have proven to be more efficient over the traditional algorithms for a standard algorithm utilized in Bankruptcy Prediction Model. This paper proposes a prediction model utilizing Artificial Neural Network (ANN) and random forest as learning algorithm. A given Dataset will be utilised for analysis and result of analysis from traditional models will considered as a benchmark for comparison with the performance of the new prediction model. © 2018 IEEE.