Technology
Turning movement into predictive care intelligence.
PreSense AI combines computer vision, pose estimation, movement quality assessment and predictive analytics to identify meaningful changes in senior mobility.
Edge Computing
Visual data is processed locally at the facility level, reducing privacy exposure and enabling responsive on-site analytics.
Anonymized Skeletal Tracking
The system converts video into skeletal keypoints and movement vectors so analytics can focus on motion patterns rather than identity.
Movement Quality Assessment
Static and dynamic movement assessments compare posture, rhythm, alignment and stability against structured movement patterns.
Predictive Analytics
Movement-derived indicators are used to support risk scoring and early identification of functional decline trends.