Velarc Sciences provides a closed‑loop neurorecovery platform that combines wearable motion sensors, a robotic assistive device, and AI/ML algorithms to monitor and adapt upper‑extremity rehabilitation at home. The system continuously captures high‑resolution movement data, adjusts assistance in real time, and delivers the data to a secure cloud where clinicians can remotely track progress and personalize therapy. This enables stroke survivors and other neurorehabilitation patients to maintain consistent, measurable therapy beyond the clinic.
Funding
Funding not disclosed
Founders
Product
Problem
Patients often experience a drop in rehabilitation intensity and feedback after discharge, leading to inconsistent practice and slower upper‑extremity recovery at home. Clinicians lack reliable, real‑world movement data to monitor progress and adjust therapy outside the clinic.
Solution
Velarc Sciences offers a closed‑loop neurorecovery platform that combines wearable motion sensors, robotic assistance, and AI/ML algorithms to continuously assess and support upper‑extremity exercises in the home environment. The system captures high‑resolution movement data, evaluates performance, and automatically adapts the level of assistance to match the patient’s current ability. Collected data are transmitted to a secure cloud where analytics generate actionable insights for clinicians, enabling remote monitoring, personalized therapy adjustments, and evidence‑based care continuity. By integrating intelligent assistance with real‑world data collection, the platform extends structured rehabilitation beyond the clinic and promotes sustained functional gains.
Target Audience
Primary users are stroke survivors and other patients requiring upper‑extremity neurorehabilitation, as well as outpatient rehabilitation clinics and therapists seeking to extend therapy into patients’ homes.
Features
- Wearable sensor suite that records multi‑axis kinematics and muscle activation during daily exercises
- Robotic assistive device that modulates support in real time based on AI‑driven performance metrics
- Closed‑loop feedback loop delivering adaptive assistance and motivational cues to the user
- Cloud‑based analytics platform that aggregates longitudinal motion data and produces clinician dashboards with progress visualizations
- Secure data pipeline ensuring patient privacy while enabling remote therapy oversight and research use