A knowledge-based system (KBS) is a form of artificial intelligence (AI) that aims to capture the knowledge of human experts to support decision-making. Examples of knowledge-based systems include expert systems, which are so called because of their reliance on human expertise.
An expert system generally consists of four components: a knowledge base, the search or inference system, a knowledge acquisition system, and the user interface or communication system. Knowledge systems solve difficult problems of the real world by performing inference processes on explicitly stated knowledge.
Companies have to answer questions for clients and employees. Instead of answering the same question over and over why not have it searchable as an online answer!
Important Company Processes need to be documented. That way they can be easily found and repeated for success. We create systems that make these searchable to select users.
We create video and tutorial content systems that teach new employees how to do the main functions of their jobs. Imagine spending the time working rather than training. Having a place for newbies to look up common questions instead of taking the time to answer them will save you money.
We make knowledge base systems that house important documents that you only want select people to see. You choose who you want to see what you want them to see. This is very useful for our finacial market client base.