KEY BENEFITS
Prevent injuries & falls while improving performance 
Holmz provides an affordable mobile gait and performance lab, location services, and gait signature assessment.
Holmz interprets and evaluates incoming data identifying potential risks, determining root causes, risks and opportunities, creating adaptive training/recovery plans providing biofeedback, alerts, and notifications.
Holmz takes a relative approach to assessing musculoskeletal health improving user health and performance based on his/her potential.
Reduce cost & readmissions 
Holmz takes a longitudinal approach to musculoskeletal health assessing data spanning hundreds of musculoskeletal, physiological, and psychometric parameters creating over 23,000 musculoskeletal metrics alone.
These metrics are distilled into evidence based visual widgets, insights and recommendations saving professionals the time and effort of having to interpret the data and information.
See the rationale behind insights & recommendations 
Holmz uses an explainable AI (XAI) that meets and exceeds the NIST XAI definition incorporating dynamic learning.
Holmz shares his rationale in a research paper inspired reporting format and knows when he succeeds and fails and when and why he made an error.
Being data source agnostic, Holmz is able to locate and interpret data from wearables, IoT devices, databases, and interactions with professionals and other users.
Get a unified view of individuals
& group performance 
Monitor the performance and injury risk of your patients, athletes, and employees as individuals or as groups based on default or custom parameters.
Receive alerts and notifications enabling on-the-fly interventions rank-ordered by importance. Adjust parameter sensitivity by individual or group to customize communications.
Intuitive adaptive user interface 
Personalize dashboards by condition, group, individual or other parameters.
Users can quickly add, remove, and rearrange widgets to meet their needs using the widget library.
Add a widget and instantly see history and trends from data collected by pre-existing paired data sources such as wearables, IoT devices, and databases.
