The article introduces new copulas that can accurately model different levels of dependence between variables. These copulas are easy to use for calculations and can be helpful in various scenarios. By analyzing the strength of dependency measures, the researchers show that these copulas are effective in capturing relationships between variables. In a practical application, the copulas are used to study the dependency between service times in a system with parallel servers, providing insights into waiting and service times for customers.