Chronic Trace is a research-stage platform that converts a single smartphone session into objective, hard-to-fake biomarkers for concussion and TBI assessment. It runs four scored tests—oculomotor, postural, cognitive, and reaction-time—and compares results against the user's own baseline rather than population norms. The platform leverages involuntary physiological signals to resist manipulation and is positioned as a decision-support tool for licensed healthcare professionals.
- Artificial Intelligence
- Defense Tech
- Digital Health
- Hardware
- Healthcare Technology
- Medical Devices
- Software Only
- Sports Technology
Funding
Founders
Product
Problem
Concussion and traumatic brain injury (TBI) have lacked an objective, quantitative measurement standard comparable to troponin for cardiology. Existing assessments rely on subjective reports, population norms, or expensive equipment, making them vulnerable to manipulation and difficult to track precisely over time.
Solution
Chronic Trace converts a single guided session on a smartphone into objective, hard-to-fake biomarkers scored against each individual's own baseline. The platform runs four separate tests—oculomotor, postural, cognitive, and reaction-time—within one session, using the device camera for eye tracking and balance while cognitive and reaction tests are answered on screen. Each test maps to specific neural machinery, and two of the four streams rely on involuntary physiological signals that cannot be artificially improved, creating a manipulation-resistant asymmetry. Results are provided as decision-support data requiring clinical interpretation, with a personal baseline approach replacing population-based comparisons.
Target Audience
Primary customers are concussion and TBI programs at sports organizations, military units, healthcare systems, and research institutions seeking objective, portable baseline and post-injury assessment tools.
Features
- Four scored tests in one guided session: oculomotor, postural, cognitive, and reaction-time
- Camera-based eye tracking measuring saccade latency, smooth pursuit, vestibulo-ocular reflex, and near point of convergence
- Postural assessment using three-stance BESS plus eyes-closed Romberg with sway path and center-of-mass drift
- Involuntary signal capture (oculomotor and postural) that resists manipulation, as users cannot outperform their physiology
- Personal baseline scoring rather than population norms, enabling longitudinal tracking of individual drift
- Patent-pending technology under development as Software as a Medical Device