Actually, the INTELLITECH team’s first achievement was back in 1990 when the first autonomous-type vehicle was designed by Zyed within a RENAULT-UTC research partnership. The car then has driven over 300 km on open roads with an entire trunk filled with computing power (Intel 80188 16 bit-CPU with some Kb of RAM) equivalent to that of our current smartphones ! 

In 2001, the xpark! system was the first worldwide automatic parking system proudly invented and developed by Zyed and his private R&D team INTELLITECH. This system automatically and perfectly parks a vehicle in a dynamic environment. It reproduces the parking strategy of an expert driver, especially in very constrained situations: small spaces, narrow streets, erroneous perception or change of the environment, any types of obstacles… 

Tested in more than 45,000 real situations in Europe, our xpark! prototype was presented as a world premiere at the IAA in Frankfurt in 2005, and was the first vehicle to offer such a high level of assistance for parallel parking.

These driver assistance systems are fuzzy “hand-built” expert systems. Because they are built with Fuzzy Mathematics, they can adapt to the imprecision and uncertainty of the perceived environment, just as a human driver would do, and to the user’s subjectivity. However their design requires long trial and error cycles before being fully operational. So we imagined: instead of proceeding through these trial and error cycles, could an AI replicate our human inductive reasoning to generate more optimal fuzzy decision systems automatically?

Starting again in 2002 to take on this challenge, INTELLITECH began to build its XTRACTIS AI and focused all its R&D efforts on developing it. The goal was to design a universal solver that automatically creates intelligent systems with efficiency, whatever the field of application. First, we applied it to a non-critical domain, i.e., sensory engineering in the food and cosmetics industries. Data were small enough to be processed by the hardware of that time, and it was quite simple to assess the results. For each application, we were thrilled to see how our AI reveals the human brain’s unconscious decision strategy when doing a product’s sensory assessment. Then, as we are polymath scientists, we were interested in all kinds of applications!

We took time to fine-tune the underlying mathematical solutions and perfect and generalize our algorithms to solve more complex problems in critical modeling issues. Like any breakthrough innovation based on new mathematical concepts, XTRACTIS has made its way for a few years by taking advantage of the latest high-performance computing hardware technologies to become a reference Trusted AI solution.