Somalytics develops miniature eye-tracking sensors that enhance human-machine interaction in wearables and industrial safety applications. These sensors provide precise tracking capabilities, improving operational efficiency and safety in environments where traditional tracking methods are inadequate.
Funding
$1.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IGFounders
Product
Problem
Existing eye-tracking and human-machine interface (HMI) sensors often lack the sensitivity, miniaturization, and cost-effectiveness required for seamless integration into wearable devices and industrial safety systems. Traditional sensors can be bulky, expensive, and less accurate, hindering the development of advanced applications in these fields.
Solution
Somalytics develops highly sensitive, miniature capacitive sensors based on carbon nanotube composite materials, enabling enhanced eye-tracking and HMI solutions. These paper-thin sensors are designed for integration into wearables like smart glasses and sleep masks, as well as industrial safety equipment requiring precise human presence detection. Somalytics' technology offers greater sensitivity in a smaller form factor at a lower cost compared to conventional sensors, facilitating more intuitive and natural human-machine interactions. The sensors' unique properties allow for the co-development of consumer and industrial products that improve health monitoring, enhance user interaction, and increase safety in various applications.
Target Audience
The primary target audience includes manufacturers of wearable devices (smart glasses, VR/AR headsets, sleep masks), industrial safety equipment, and automotive systems, as well as developers of human-machine interfaces.
Features
- Capacitive sensors utilizing carbon nanotube composite materials for high sensitivity
- Miniature size (1-5mm diameter, 0.1mm thickness) allows for discreet integration
- Paper-thin and flexible form factor suitable for wearables
- Applications in eye-tracking, HMI, and proximity sensing
- Potential use in sleep monitoring masks for tracking sleep stages
- Suitable for gesture-controlled interfaces and automotive applications