NainTor
The web experience for NainTor, a wearable AI assistant that records conversations, tracks biometrics and indexes what you see.
Wearable AI · Biometrics · Product Launch Site
ViteThree.jsGSAP
The challenge
A wearable that records, senses and remembers is difficult to explain in a static page. The product had to be made legible and credible before anyone would consider putting it on their face.
Users and stakeholders
Professionals and knowledge workers weighing up an always-on memory and health device, with Nainsense Labs as the product and engineering team behind the launch surface.
Discovery and product reasoning
Discovery focused on the questions a new visitor actually asks about a device like this: what it captures, what it does with it, and what stays private.
Proposed solution
A launch experience that walks through the product one capability at a time, so the device is understood through what it does rather than through specification lists.
Product modules
- Memory Core
- Health Guardian
- Context Engine
- Smart search and recall
System architecture
A static single-page build using Three.js for the product visuals and GSAP for the scroll narrative.
Security and privacy
Privacy is a product-level concern for an always-on capture device. Formal certification has not been pursued for this product.
Design system
A visual language built for NainTor and carried across the launch experience.
Engineering execution
Built and maintained by the Nainsense Labs engineering pod assigned to this engagement.
QA and validation
Manual QA across the full narrative flow and breakpoints on each release.
Deployment
Deployed as a static site on Amazon S3, served at naintor.com.
Verified results
Awaiting verification — no numeric results are published yet.
Role
Product positioning · UX/UI design · Front-end engineering