AI-Driven Prosthetics Tuning Gains Ground in Russia as Integrated Rehab Systems Take Shape
In Russia, medical technology is evolving toward systems where prosthetics, neural networks, and digital services operate together. Some of these solutions are already in clinical use, while others are scheduled for launch in 2026 and are designed from the outset for both domestic and international deployment. The goal is to help patients regain mobility more effectively.
In Moscow, several companies are advancing medical technologies that integrate devices and software. These include bionic prosthetics, AI-based diagnostic tools, and digital services that enable more precise device tuning and structured rehabilitation planning.
One such project is being developed by StepLife, a resident of the Skolkovo innovation center. The company is building a universal gait analysis system powered by a neural network. It captures movement data from patients using lower-limb prosthetics and transmits it to clinicians and rehabilitation specialists.
The system captures how patients move in real-world conditions. This enables more precise device calibration and ongoing monitoring of rehabilitation progress. The release is scheduled for summer 2026. The software is being developed with an open integration architecture. This allows the system to work with prosthetics from multiple manufacturers, without dependence on a specific brand.
From 3D Model to Finished Prosthetic
Production of bionic devices is handled by Motorica, a resident of the Technopolis Moscow special economic zone and the Skolkovo technopark. The company has developed a mobile application for prosthetic configuration. Through the app, users can adjust operating modes, activate additional features, and tailor the device to their daily routines.
Another focus area is digital prosthetics. The process begins with 3D scanning, where specialists create an accurate model of the limb that reflects both anatomy and movement patterns. A digital model of the socket and prosthetic components is then designed.
During the modeling phase, the system runs load simulations, allowing engineers to validate structural integrity and reduce the risk of manufacturing errors. As a result, each device is built to fit the individual from the outset.
Beyond Prosthetics
Digital solutions are also used in diagnostics. Moscow-based company Geltek has developed an AI-driven system that assesses skin condition. Users upload a photo through a personal account on the website and receive analysis results along with care recommendations. The service has already attracted around 450,000 users.
The company is also expanding production with support from the Moscow Industrial Development Fund. New capacity will be located in a modern manufacturing complex in the southern part of the city.
Impact on Patient Outcomes
AI-based diagnostics and digital prosthetics are improving patient mobility and overall quality of life. Clinicians gain access to objective movement data rather than relying solely on visual assessment. This enables faster prosthetic fitting and reduces the need for repeated adjustments. Digital modeling helps prevent design errors, while neural networks make it possible to track rehabilitation progress over time.
As a result, prosthetics adapt more effectively to everyday use, and recovery becomes more predictable and efficient.
Support and International Expansion
These projects are supported at the regional level in Moscow. According to Anatoly Garbuzov, minister of the Moscow government and head of the Department of Investment and Industrial Policy, around 20 support measures are currently in place, including both financial and non-financial tools. These measures help companies expand production, adopt new technologies, and develop digital medical services.
Because of their interoperability, these solutions are not limited to domestic use. Systems that are not tied to specific hardware platforms have potential demand in international markets, both as standalone software products and as part of broader healthcare infrastructure.
