Bioniks manufactures AI‑driven prosthetic arms that use surface EMG sensors and on‑device neural‑network inference to translate user intent into precise movements. The carbon‑fiber, sub‑500 g devices feature modular end‑effectors, BLE connectivity for updates and data streaming, and meet ISO 13485 medical standards for clinical prescription. The system adapts to individual muscle‑signal profiles and provides clinicians with cloud‑synced usage metrics for rehabilitation monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
People with upper‑limb loss often lack prosthetic options that combine lightweight construction, intuitive control, and adaptability for daily activities, resulting in reduced mobility, independence, and quality of life.
Solution
Bioniks delivers AI‑enhanced prosthetic arms that translate user intent into precise movements through embedded sensor arrays and machine‑learning algorithms. The devices are built from carbon‑fiber composites to minimize weight while maintaining structural strength. A modular design lets users select from three purpose‑specific models—general use, activity‑focused, and premium—each calibrated to individual muscle‑signal profiles. Clinical certification and integration with standard healthcare workflows ensure the prostheses meet medical safety standards and can be prescribed by professionals. By providing a reliable, user‑centric solution, Bioniks enables amputees to perform everyday tasks and pursue personal goals with greater confidence.
Target Audience
The primary customers are adult amputees and individuals with upper‑limb deficiencies seeking functional prosthetic solutions, as well as prosthetics clinics, hospitals, and rehabilitation centers that prescribe and fit such devices.
Features
- Integrated surface EMG sensors coupled with on‑device neural‑network inference for real‑time intent detection
- Carbon‑fiber and thermoplastic polymer chassis delivering sub‑500 g arm weight without compromising durability
- Adaptive control firmware that learns user motion patterns and auto‑tunes gain parameters over a cloud‑synced learning loop
- Bluetooth Low Energy (BLE) connectivity for firmware updates, diagnostic data streaming, and optional mobile app integration
- Three interchangeable end‑effectors (standard hand, activity‑specific grip, premium stylized module) selectable via a quick‑swap interface
- Compliance with ISO 13485 medical device standards and certification by regional healthcare authorities
- Modular mounting system compatible with existing socket fittings to reduce fitting time and improve comfort
- Data‑secure storage of usage metrics, enabling clinicians to monitor rehabilitation progress through a web dashboard