Highlighted Features
Data Source Agnostic 
Holmz, being data source agnostic, can take in data from a diverse range of data sources including wearables, IoT devices, databases, and users. Data sources are evaluated for accuracy, consistency, and reliability before being integrated into the Holmz ecosystem.
Cognitive Expert System 
Holmz combines a digital self, explainable AI (XAI) and adaptive user interface to develop evidence based insights, recommendations, new methodologies and protocols, and adaptive training plans while sharing his rationale through visual widgets and research paper inspired reports.
Digital Self 
Holmz creates a personalized digital self of the user consisting of musculoskeletal, physiological, and psychometric components. Holmz uses a user’s digital self to create referential vs prescriptive insights and recommendations.
Holmz uses the digital self to test his hypotheses, inform decisions, develop insights and recommendations, and document his rationale.
Dashboard Visualization 
The Holmz user interface is very intuitive using a library of swappable data widgets to allow users to personalize their dashboards on-the-fly.
Users can link dashboards, replace widgets in real time using the widget library and organize widgets within the dashboard for a personalized experience by a simple drag and drop process.
Newly added widgets have access to pre-existing data providing instant history and trends.
Actionable Insights 
Holmz functions as any expert conducting research, testing hypotheses, creating theories, improving his capabilities and capacity, and providing the rationale behind his insights and recommendations.
Holmz can continually monitor a user providing them biofeedback, alerts, notifications, insights, recommendations, and rationale.
Holmz, using the personalized digital self and its insights, can virtually design 3D printable ergonomic products such as footbeds, braces, prosthetics, sports equipment, and grips, essentially, any human interfacing device.
