• Natural processing language for effective communication
• Automated reasoning ability to be able to proffer answers to questions and draw conclusions using stored information
• Uses machine learning to observe the patterns of how things are done and adapt to new situations
• Knowledge storehouse

Second, we utilize the cognitive modeling approach to build the human cognitive ability into the machine. The modeling helps to ensure that the machine works just like the human mind. Our cognitive modeling approach works in three ways;

• Introspection examines human thoughts and feelings and builds a model in that order.
• Psychological evaluation to conduct experiments on man and observe his behaviors and reactions.
• Brain imaging observes how the brain works under different circumstances then uses MRI to replicate through codes.

Third, we engage the law of thought strategy AI to draw a list of logical statements that control the mind’s operation. We do this by coding these laws and applying them to artificial intelligence algorithms.

Lastly, we use the rational agent approach, which works when the artificial intelligence algorithm tries to achieve the best outcome in the present situation. The rational agent approach works well when there is no logical relationship with multiple outcomes. Then, the agent will act in the way that seems best at that moment.

We create an artificial intelligence machine that acts like assistance to help you save energy and time. This way, you can have improved productivity and cut expenses.