AXELISYS LIMITED

HelpChoose (Originally Goldilocker) required a novel recommendation engine to help potential customers identify appropriate cars for them using a "Tinder-like" interface. Axelisys were tasked with providing the recommendation engine for the first major MVP.

We built an inference engine to optimise different signals and output recommendations which were updated from, and to, the entire knowledge estate. Allowing learning across all visitors over time. This predated Tesla fleet intelligence.