Fields of Development

 Platform Design & UX

This mission statement aims to describe in detail the role our platform will fulfill as our team develops this evolutionary Web 3 XR Optical User Interface. Effectively this technology will bring forth a new way we look at attention & neuromorphic computing applications. 

Jett Optics in simple terms, allows the users of any device to conveniently and almost seamlessly train their neural pathways for information recall and transmission. Our focus will be to use a personal methodology to identify a user's unique (tabular key) that they may actively edit and adjust for themselves for information memory, recall, storage, and transmission. 

We focus on establishing a baseline User Interface for simple messaging and encryption (e.g. applications like Signal for 3-factor authentication) in the Extend Reality space. Our UI focuses on creating a trainable dataset that can be saved and encoded for users to actively and easily update. Our services will be coachable, integrated on a blockchain ledger, and explainable (xAI) to new users who might not be exposed to the Internet of Things (IoT), Machine Learning vision, and its real-live occurrences.

The design came to form after observing people's rapid eye movement (REM) and its correlation between words/outputs retrieved by a gaze-object parameter. My hypothesis and mission for Jett Optics are not just to identify the relationship between REM and memory recall but to purposefully allow the natural neurological process to be organized and transmuted directly into a secure network from the electrical source in-between neuron synopsis and its perception counterpart updated in the AI model cloud- architecture.

We calibrate, measure, and capture REM by leveraging EEG data and give the users feedback optically via an Extended Reality Keyboard Powdered and created by our Replit API  (created, trademarked, and patented Jett Optics®).

My vision for Jett Optics is to provide individuals with an evolutionary Web 3 messaging/security spatial computing platform to serve as an alternative to invasive brain computing interfaces (BCIs); or at least bridge the gap before mass BCI adoption.

JOE Evolutionary Web 3 Optics for Extended Artificial Spaces