OCCAM is a private non-profit research laboratory, the Odessa Competence Center for Artificial intelligence and Machine learning. Their mission is to advance fundamental research and practical application in the fields of artificial intelligence (AI) and machine learning (ML). They are particularly focused on Artificial General Intelligence (AGI), which involves creating thinking machines capable of solving a wide range of tasks without specific programming.

OCCAM's research is guided by the principle of universal induction, the idea of finding efficient data compression algorithms. They believe that by creating compressed representations of data, they can enable grounded reasoning, concept acquisition, and communication through language. Ultimately, they aim to develop an agent with common sense reasoning abilities, taking a big step towards AGI.

Their research projects include incremental compression theory, hierarchical compression theory, and the development of WILLIAM, a Python implementation of their theoretical papers. They have published several papers that highlight their work in incremental compression, monolithic approach to AGI, and more.

Through their research and innovative approaches, OCCAM strives to build thinking machines and drive advancements in the fields of AI and ML.