Co-Founder and Chief Technology Officer
AI
Astrek Innovations
Astrek Innovations develops a wearable robotic exoskeleton that utilizes robotics and machine learning to assist individuals with lower-limb immobility in regaining mobility. This technology addresses the challenges faced by people with disabilities by providing a means to restore independence and improve their quality of life.
- Artificial Intelligence
- Hardware
- Healthcare Technology
- Robotics
Updated 23 months ago
Funding
Raised to date
$140KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Individuals with lower-limb immobility face significant challenges in regaining mobility, impacting their independence and quality of life. Current assistive devices often lack the adaptability and intelligence needed to provide effective and personalized rehabilitation.
Solution
Astrek Innovations develops the Unik Exo, a wearable robotic exoskeleton designed to assist individuals with lower-limb immobility in regaining mobility and independence. Utilizing advanced robotics, artificial intelligence, and wearable technology, the Unik Exo provides a customizable and data-driven rehabilitation experience. The exoskeleton employs a predictive system that adapts to the user's movements, providing efficient and personalized assistance. By collecting and analyzing data during training sessions, the Unik Exo helps users track their progress and stay engaged throughout the rehabilitation process.
Target Audience
The primary target audience includes individuals with lower-limb immobility seeking to regain mobility, as well as healthcare professionals in rehabilitation centers and hospitals.
Features
- Wearable robotic exoskeleton designed for individuals with lower-limb immobility
- Utilizes advanced robotics and machine learning for personalized assistance
- Modular, compact, and comfortable design to keep the user focused on movements
- Customizable, predictive system that adapts to the user's movements
- Data-driven training sessions with continuous data collection and analysis
- Integration of electronics, metal work, and mechanical equipment for prototyping activities