Abstract: The embodiments described herein provide a mechanism for inputting a set of criteria regarding a startup technology company, analyzing all existing data regarding all known venture capital firms, generating a relevancy score for each of the venture capital firms as to that particular startup technology company, and providing a report identifying the venture capital firms who are most likely to invest in the startup technology company and identifying the relevant companies in which that venture capital firm has invested in the past.

Abstract: An apparatus and method is described for predicting the expected success rate for an organization, such as a technology startup business, using a prediction engine that configures a plurality of machine learning algorithms using a training dataset and a testing dataset and generates an expected success rate for an organization using an input data set and the configured machine learning algorithms.

Abstract: The embodiments described herein comprise a prediction engine running on a server for receiving a dataset relating to a recurring revenue product, applying algorithms to the dataset to generate a revenue performance index and a churn performance index, and applying the revenue performance index and churn performance index to a known value to generate a prediction of incremental revenue and incremental churn to be generated in the future from the recurring revenue product.