This paper is intended to present the implementation and testing methodology of transductive support vector machines (TSVM) proposed by Joachims et al [1]. Initially it explains the concept offering by the Support Vector Machines as optimal classifiers and clarifies the concept of transductive inference. Along the implementation process several tests were performed. The data used for such tests was very diverse especially with respect to the dimensionality (number of samples, features,etc.). The ultimate objective was to integrate the Transductive inference tool in the already developed Intelligent Interface Web Engine [2] from the SISTA group at the Catholic University of Leuven (Belgium) [2].