Kexxu provides lightweight wearable eye‑tracking glasses that capture gaze with 2° angular accuracy using an onboard AI engine. The device streams video with a crosshair overlay and uploads recordings to a cloud analytics dashboard that generates heat maps, gaze plots, and exportable datasets for UX, marketing, and sports performance research.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers and analysts in user experience, marketing, and sports performance need precise gaze data but existing eye‑tracking solutions are bulky, expensive, and require fixed lab setups, limiting field studies and rapid data collection.
Solution
Kexxu offers a lightweight, wearable eye‑tracking glasses system that captures gaze with 2° angular accuracy. Onboard AI processes the video stream in real time to locate the pupil center and overlays a crosshair directly onto the recorded scene, ensuring visual alignment without post‑processing. Recorded sessions are uploaded to a web‑based analytics platform where automated pipelines generate heat maps, gaze plots, and exportable datasets. The cloud interface provides interactive visualization tools and supports collaborative review, enabling researchers to conduct field‑based studies and iterative testing without specialized hardware or extensive calibration.
Target Audience
Primary users are UX researchers, marketing analysts, and sports performance scientists who require portable, high‑precision eye‑tracking for field studies and rapid iteration.
Features
- Integrated AI engine for on‑device pupil detection and gaze estimation at 2° accuracy
- Lightweight glasses with built‑in high‑resolution camera and crosshair overlay in the video stream
- Cloud‑hosted analytics dashboard offering heat‑map generation, gaze‑plot visualization, and data export in CSV/JSON formats
- Real‑time streaming option for live monitoring and immediate feedback during experiments
- Secure web platform with role‑based access controls and encrypted data transfer
- Compatibility with standard video codecs and easy integration into existing research workflows