Most people have probably heard of Machine Learning (“ML”), and know that it is capable of making predictions based on large amounts of data. What ML companies such as IBM Watson have been unable to do, however, is tell the user the underlying causes for the prediction. It’s one thing to predict that a certain percentage of customers will not renew their auto insurance policy, it’s another to know why they will not renew. simMachines solves this problem, as it is able to make such a “Prediction with the Why.”
simMachines is a ML company focused on the credit card (fraud prevention) and marketing (increased effectiveness) industries, as there is an enormous need for such a product in these industries. Marketers currently spend a large amount of time developing marketing campaigns and models employing statistical modeling techniques using large amounts of static data. With simMachines, they will be able to develop dynamic and more accurate market segments, and receive predictions in seconds, resulting in more precise campaigns at a lower cost. In the credit card fraud prevention market, simMachines’ product has proven to be much faster than current products, allowing companies to make much faster decisions regarding the creditworthiness of potential customers.
The Company’s founder and Chief Technology Officer is a widely recognized data scientist and leader in the development of Machine Learning. The Company currently has a number of major organizations as customers and has a robust sales pipeline.