HashTech provides an AI-driven platform for nursing homes that monitors resident mobility, predicts fall risk, and delivers robotic-assisted physiotherapy through its ErgoBot arm. The system also includes autonomous logistics robots for medication and linen transport, and a cloud‑based analytics dashboard that supplies clinicians with real‑time alerts and longitudinal performance metrics. By automating routine tasks and standardizing rehabilitation programs, the solution helps facilities improve care consistency while reducing caregiver workload.
Funding
Funding not disclosed
Founders
Product
Problem
Nursing homes face chronic staff shortages and rising demand for therapy services, leading to inconsistent care delivery, high caregiver workload, and limited ability to monitor resident mobility and fall risk. Without scalable automation, facilities struggle to provide measurable, repeatable rehabilitation while maintaining resident safety and independence.
Solution
HashTech offers an integrated ecosystem that combines AI-driven health automation with purpose-built robotics for long-term care environments. The platform delivers real-time mobility analysis, fall‑risk detection, and robotic‑assisted ergotherapy, enabling therapists to prescribe repeatable rehabilitation programs that are executed autonomously. Automated logistics robots handle routine tasks such as medication delivery and linen transport, freeing caregivers to focus on direct resident interaction. All data are captured on a secure cloud backend, providing clinicians with actionable insights and longitudinal performance metrics. The system is modular and can be scaled across multiple units, allowing facilities to upgrade incrementally while maintaining a unified care workflow.
Target Audience
Primary customers are nursing home operators, long‑term care facilities, and on‑site therapists seeking to augment care delivery with automation and data‑driven rehabilitation tools.
Features
- AI-powered mobility monitoring and predictive fall‑risk analytics using sensor fusion and machine‑learning models
- ErgoBot robotic arm for assisted physiotherapy, delivering precise, repeatable exercise regimens
- SeniorFit wearable platform that tracks activity levels, range of motion, and compliance with therapy plans
- TrollyBot autonomous logistics robot for medication, supplies, and linen transport within the facility
- End‑Effector modular attachment system enabling customization for various therapeutic exercises
- Cloud‑based analytics dashboard with real‑time alerts, progress visualizations, and exportable reports for clinicians
- Intuitive caregiver interface with touch‑screen controls and voice prompts, requiring minimal training
- Secure data handling compliant with healthcare privacy standards and integrated via standard APIs for EHR connectivity