In 1995, Cerego began as a privately funded research-oriented think-tank, with a mission to enhance the efficiency of the human learning process by focusing on the biological and psychological requirements for learning.

Based on years of applied research, Cerego has built adaptive, web-based applications that accelerate knowledge acquisition. Cerego’s patented core learning engine is driven by algorithms that generate optimal learning schedules for discrete chunks of declarative learning content, called “items”. This intelligent scheduling is achieved by gathering metadata on individual user performance and modeling memory decay patterns at the granular level of every item.

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