Chiasm provides webcam‑based eye‑tracking that runs in a browser via a lightweight JavaScript library, enabling researchers and analysts to collect gaze data without dedicated hardware or plugins. The solution integrates with platforms like jsPsych and Qualtrics, delivering near‑hardware accuracy and exporting raw coordinates and attention metrics for statistical or UX analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional eye‑tracking requires dedicated hardware, specialized software, and often complex installations, limiting its use to labs or controlled environments and preventing large‑scale data collection.
Solution
Chiasm delivers high‑precision gaze tracking using only a standard webcam, eliminating the need for extra hardware or plugins. Researchers and analysts embed a lightweight JavaScript library into platforms such as jsPsych, Qualtrics, or any custom web study, then run experiments directly in a browser. The system captures gaze coordinates with accuracy and precision that approach hardware‑based trackers under favorable lighting and webcam conditions. Collected data are exported as detailed attention metrics for downstream statistical or UX analysis, enabling scalable online studies without additional equipment.
Target Audience
Primary customers are academic researchers conducting online experiments, marketing teams measuring ad attention, and product/UX teams evaluating website or app layouts.
Features
- Webcam‑only eye‑tracking that works in Google Chrome on laptops and desktops
- Lightweight script integration compatible with jsPsych, Qualtrics, and custom web platforms
- Accuracy of ~1.5° visual angle and precision of ~1.0° visual angle under optimal conditions
- Scalable data collection allowing simultaneous tracking of many participants
- Export of raw gaze coordinates and derived attention metrics for easy analysis
- No installation or plugin requirements; runs entirely within the browser