Businesses lack the ability to effectively personalize products and services due to a limited understanding of individual movement patterns. Existing methods fail to capture the intricacies of daily routines, hindering the development of tailored solutions for wellness, athletic training, and healthcare.

nhominin develops Large Movement Models that analyze human movement data from consumer wearables to create personalized movement fingerprints. This technology enables businesses to understand the unique movement patterns of individuals, allowing for the creation of products and services that are tailored to their specific needs. By quantifying an individual's healthy baseline for static balance and dynamic movement, nhominin facilitates personalized wellness programs, enhances athletic training, and improves recovery outcomes. The movement fingerprint serves as a key to unlocking a wealth of personalized data, enabling businesses to meet the distinctive needs and preferences of their customers with unprecedented precision.

Individual-level Large Movement Models that analyze human movement data

Creation of personalized movement fingerprints based on daily routines

Quantification of healthy baselines for static balance and dynamic movement

API suite for developers to build applications leveraging human movement intelligence

Integration with consumer wearables for data collection

Ability to track return to baseline after injury events

The primary customers are businesses in the personal wellness, athletic training, healthcare, and active apparel sectors seeking to personalize their products and services. This includes healthcare providers, athletic teams, military units, and active apparel companies.