CreditRiskMonitor strives to bring you the most accurate financial risk assessment tools and solutions available today. We utilize innovative technologies such as crowdsourcing, a component of our 96% accurate FRISK® score, used with public company risk analysis. Our deep neural network technology, a type of artificial intelligence, is used to formulate our new private company PAYCETM score.
At the helm of the development of our scores is Dr. Camilo Gomez, Senior Vice President of Quantitative Research. A PhD from the Massachusetts Institute of Technology, Dr. Gomez is continually researching new methods to strengthen the accuracy of our scores by using the most current and cutting edge technologies available today.
Get a deeper understanding of how crowdsourcing and deep neural network technologies work: