neuroFit develops oculometric assessment devices and software protocols to precisely measure and monitor neural health. The technology provides a sensitive, non-invasive neurological biomarker for providers, researchers, and high-performance users. This biomarker aids in optimizing cognitive performance, monitoring patient outcomes, and serving as an endpoint for clinical trials.
Funding
Funding not disclosed
Founders
Product
Problem
Assessing neurological health and cognitive decline often requires specialized, clinic-bound equipment and trained personnel, limiting accessibility for many individuals. This can lead to delayed detection and management of neurological conditions.
Solution
neuroFit provides a non-invasive platform that leverages the precision of the oculomotor system to measure and monitor neural health. Their proprietary biomarker, nFit, quantifies brain function through a standardized 5-minute eye-tracking task. This allows for the detection of subtle physiological changes indicative of cognitive decline or impairment, enabling proactive intervention and optimized patient outcomes. The technology is designed to be sensitive across a spectrum of neurological conditions and performance levels.
Target Audience
The primary target audience includes healthcare providers, clinical researchers, and high-performance trainers seeking sensitive, non-invasive tools for neurological assessment and monitoring.
Features
- **nFit Biomarker**: A NASA-developed, multi-dimensional vector of oculometric metrics quantifying the signal-to-noise ratio of neural function, used for monitoring, early detection, and biofeedback.
- **neuroFit ONE**: A self-contained oculometric assessment device featuring a high-speed display for smooth pursuit stimuli, a medical-grade eye-tracking module, and head stabilization capabilities.
- **nFit Headset App**: A software application compatible with augmented reality headsets (e.g., Magic Leap 2) that enables remote or in-clinic oculometric assessments.
- **Ergonomic Chinrest**: A stable and comfortable chinrest designed for high-precision eye-tracking applications, constructed from anodized aluminum and stainless steel.
- **Oculometric Data Analysis**: Extraction of quantitative "oculometrics" from eye-movement data traces, which are compared to normative datasets to assess functional health of neural circuits.
- **Python-based Behavioral Protocols**: Software protocols for conducting standardized oculomotor tasks to elicit measurable eye movements.