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Restoring Hand Function Through Physical AI

We empower people with lost hand function to regain their movement, independence, and quality of life through computer vision and real-time electrical stimulation.

Discover How It Works Meet the Team

Person wearing ORAISIS smart glasses using FES-assisted arm to interact with holographic object

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The Problem

The pain of physical limitation of stroke survivors

I cannot reach the spoon, how am I supposed to cook and eat?

Typical patient experience after stroke

Hand use is the strongest predictor for reduced quality of life. Simple daily tasks -- cooking, eating, getting dressed -- become impossible. Current rehabilitation tools lack direct environmental perception, leaving patients dependent on caregivers for basic needs.

Stroke patient struggling to reach a spoon due to hand paralysis, arm highlighted in red

1 in 4

Adults over 25 will experience a stroke in their lifetime

6.7M

European survivors currently living with hand paralysis

€60B/y

Annual European cost from productivity loss and healthcare

An assistive system powered by Computer Vision

By automating environment perception, our system identifies objects and hands to provide real-time assistance via Functional Electrical Stimulation (FES).

+113% increase in functional ability with FES

Illustration of a stroke patient using the ORAISIS FES system to grasp a spoon

How It Works

Perception

Cameras detect the position of the hand and the target object in real time.

Intelligence

Contextual AI processes grasping intention and calculates the required assistance.

Assistance

Functional Electrical Stimulation (FES) contracts muscles to execute the movement.

A Continuum of Care

Our modular approach bridges the gap between intensive clinical rehabilitation and sustained home-based independence.

Line drawing of a person in a wheelchair at a table using the ORAISIS clinic system, with a ceiling-mounted camera and projector tracking objects on the table surface

In Development

Clinic System: The Foundation

High-precision stationary system captures real-time hand and object movements with sub-millimeter accuracy, delivering immediate assistance through advanced feedback mechanisms.