Decentralized Engine + Smart Managed Services
Designed for complex adaptive systems. Built for ultra-personalization.
Relational AI uses hyperbolic lenses to represent how each individual perceives the world. It more accurately quantifies bias (the distance between an objective event and its subjective interpretation from a given lens) and the differences between individual biases.
Relational AI combines and temporally aligns diverse data types for each device and its media signals (e.g. pixels in each video frame) without data cleansing or wrangling, putting us several steps ahead of common AI which require more data scientists as data types increase.
Relational AI is made for smart edge intelligence. Each user’s hyperbolic lens can be deployed on device for real-time, personalized decisions. Only new or unknown patterns are used to update lenses so traditional AI can improve without the expense of breaking and re-training models.