We are likely the sole firm claiming the use of AI for microbiome analysis that is in conformity today. Most firms in this area that claim using AI, refuse to even disclose which type of AI that they are using. Since our founding, we have been OPEN DATA. The logic used for every suggestion is show and links to every data source. We are about to file patents for our proprietary, PATENT PENDING, algorithms – meaning that shortly even the algorithms will be available for inspection.

Our core AI model is an old classic: fuzzy logic expert systems.

The foundations of fuzzy logic were laid in 1965 by Lotfi Zadeh, a professor at the University of California, Berkeley. In his seminal paper “Fuzzy Sets”, Zadeh introduced the concept of fuzzy set theory, which allows for degrees of truth rather than the classical binary true or false [A brief History of Fuzzy Logic].

The concept of expert systems, which are computer programs designed to emulate the decision-making abilities of a human expert, began to take shape in the 1960s. One of the earliest and most notable examples was MYCIN, developed in the early 1970s at Stanford University. MYCIN was designed to diagnose bacterial infections and recommend antibiotics based on a set of if-then rules derived from expert knowledge. [Knowledge Discovery from Medical Data and Development of an Expert System in Immunology]