DTRules is an open sourced, Decision Table based Rules Engine. Using DTRules, all the rules are expressed in Decision Tables, which themselves may reference other Decision Tables. There is no rule scheduling overhead (as with most Forward Chaining Rules Engines) because the Rules are executed in the order presented. Decision Tables are translated into Decision Trees for execution, insuring that conditions are evaluated no more than one time even in very complex tables. As a result, DTRules executes very, very fast. DTRules is currently in use in production systems in several states and in several applications. Earlier versions of this engine have been deployed in the Texas TIERS project with over 3000 decision tables since 2003. This same application has been modified and deployed by Deloitte in Michigan, Colorado, and New Mexico. DTRules utilizes unbalanced decision tables which vastly simplify the implementation of policy using decision tables. Unbalanced Decision Tables reduce the complexity of decision tables by 30 percent on average, and reduce the number of Decision Tables required to implement policy by about 30 percent. The reduction in complexity in Decision Tables greatly reduces the need for Developers to help Business Analysts build and support Decision Tables when compared to other Rules Engines which provide Decision Table support. Feel free to contact us with inquires about DTRules. We do provide paid consulting and support.