#we make future

We create intelligent robotic ecosystem for neurosurgery.  We make devices, applications, and server solutions for medicine and beyond. The flagship project of our team is the LevshAI Ecosystem.

The idea came at the endovascular neurosurgeons’ request. Endovascular neurosurgeons face challenges that harm surgeons and patients. They asked us to solve these problems. And we realised we could. 


Our ecosystem is a constructor — a set of intelligent blocks from which we build solutions for Ai-assisted robotic personalised surgery.

3D Simulator
The 3D simulator is a desktop application that allows users to work with 3D models of the vessels of the brain and heart, move through the model, explore, select tools for work, and measure the features of the vessels. 
Input Device

The input device is equipped with instruments familiar to experienced endovascular surgeons. It has haptic feedback that provides the tactile sensation of contact with simulated patients’ vessels.   

Ai Server
The server processes medical images of patients and creates 3D brain simulation.  The server segments the images, skeletonizes, creates 3D model, adds physics, and sends the assembled 3D simulation back to the 3D simulator.
3D Models Database

The 3D models database is a database of simulations of healthy brain vessels and a set of pathologies: stroke, stenosis, aneurysms, and malformations. These models are downloaded into the 3D simulator and ready to use.

Robotic Peripherals

The Operating device is an executive device, controlling by the surgeon from outside of the operating room.


Our products are built using the EcoSystem intelligent blocks. The system consists of three independent solutions assembled from the LevshAI Ecosystem’s functional units. 

1. Training Solution

Training Simulator = 3D simulator + 3D Models + Input Devices

Isomorphic Training LevshAI allows surgeons to train in simulation without risk to patients.

2. Personalised Surgery
Personalised Surgery = 3D Simulator + AI Server + Input Devices   Personalized surgery is a service that allows conducting training operations on the particular person’s vessels simulation.  
3. Operating Solution

Operating Surgery = 3D Simulator + AI Server + Input Devices + Robotic Peripherals 

Operating LevshAI allows operating remotely in another room, city, or country — telesurgery. It consists of four functional units.

Training Solution

Training Solution is an interactive and reliable 3D simulation with a bunch of 3D simulations of vessels’ normal and pathological anatomy. The Training solution can may be accompanied by input devices. 

Training Simulator = 3D simulator + 3D Models + Input Device

3D Vasscular Models Database​

The 3D simulations of healthy brain vessels and a set of classic and unique pathologies: including stroke, stenosis, aneurysms, and malformations are loaded into the Training simulator and are ready for training.

Artificial Intelligence

Training simulator uses Artificial intelligence , which can recommend the course of operative intervention.

Moreover, training with assistive Artificial intelligence allows surgeons to learn future technology.

Input Devices

Training Simulator integrates with peripheral devices: intelligent input device LevshAi, brain-computer interface for surgeons and e.t.c.. Haptic feedback of the compatible input device allows novice surgeons to test what the surgeons’ hands feel in the operating room. 

Training Simulator Benefits

1) The Training Simulator allows novice surgeons to train in classical and robotic surgery without compromising patients.  Novel surgeons can be trained on simulation instead of patients. 

2) The Training Simulator allows to implement online training and connect world-class surgeons to the practical course.

3) The Training simulator allows new surgeons to be trained in modern methods of endovascular surgery and innovative telesurgery methods using the LevshAi Ecosystem. It leads to technological advances.

4) The training simulator is safe for doctors. X-rays do not expose novice doctors. Simulator uses X-ray images identical to those in the operating room during surgery.

Personalised Surgery

.Personalised Neurosurgery is an interactive and reliable 3D simulation, adapted to the patient vessels’ anatomy. 

Personalised Surgery = 3D Simulator + AI Server + Input Device  

Personalised Neurosurgery involves simulating the vessels of a particular patient and then training on a simulator before the operation begins.

Personalised Surgery allows an unlimited number of training operations on an individual model of the patient’s brain vessels. 


Personalised Surgery allows to select an appropriate surgical tactics for the particular patient.

Artificial Intelligence

Ai-server takes medical images of the particular patient from the 3D simulator on the client side.

Then, Ai-server generates 3D simulation models and send them back into the 3D simulator on the client side.


Personalised Surgery integrates with peripheral devices. For example, integration with a peripheral intelligent input device with tactile feedback allows surgeons to prepare for surgery even with haptic feedback. 

Personalised Neurosurgery allow operating on a brain simulation, almost indistinguishable from an actual operation. о

Personalised Surgery Benefits

1) Can reduce risk of complications from 30% to about 0%. 

2) Can reduce rehabilitation from 5-14 days to 1-5 days on average by decreasing the complication burden. 

3) Can be used for surgical training at Medical Schools.  Novel surgeons can be trained on simulation instead of patients. 

4) Can be integrated into the telemedicine solutions, such as Operating LevshAi, etc.

Operating Solution

The Operating LevshAI consists of two main units: an operating executive unit and a control unit. The control unit is located in the surgeon’s room. This block is identical to the Traning LevshAI input device. The purpose of this design solution is to allow simulator-trained surgeons to adapt to Operating LevshAI as quickly as possible. 

Company activity


Java/Scala/Kotlin, Python, C/C++, Verilog.

Data Science
We develop new artificial intelligence algorithms and perform mathematical modeling. 
We create hardware modules and embedded systems that ensure the independence of the component base. 
Science and Expertise
 We advance science in the field of mathematics, artificial intelligence, robotics and medicine. We conduct startup due diligence..

Company news

2022 IEEE Cyborg and Bionic Systems (CBS) Conference
On March 24-26, 2023, in Wuhan China, Alexandra made a report on the topic «Intelligent Robotic Motion Copying System LevshAi for Neurosurgical Endovascular Operations with Haptic Feedback and Preoperative Personalised Simulation» at the 2022 IEEE International Conference on Cyborg and Bionic Systems Conference.
We are starting a pilot study at Medical Universities

On March 20, 2023, we start piloting our ecosystem at Medical schools.

«9th International Conference on Automation, Robotics and Applications»

 On February 10-12, 2023, Alexandra Bernadotte was Session Chair at the international conference «9th International Conference on Automation, Robotics and Applications» (ICARA 2023) in Abu Dhabi.


Neurosputnik LLC is a Skolkovo resident

On December 19, 2022, Neurosputnik LLC became a resident of Skolkovo, having received 23 out of 25 possible votes from Skolkovo experts. 

Speech at the BRICS+ Forum
On November 24, 2022, Alexandra Bernadotte, CEO of the company, and Kirill Orlov, Director of the Russian Association of Endovascular Neurosurgeons, presented a report at the BRICS+ international forum. 
Training LevshAI has been tested

Russian Endovascular Neuro Society
has tested Training LevshAI

MVP of Training LevshAI

On August 26, 2022, two months after the start, Neurosputnik team presented a MVP of Training LevshAI.

Neurosputnik LLC

The high-tech company LLC Neurosputnik was established on July 15, 2022.

Company team

Alexandra Bernadotte, CEO

CEO, system architect, data analysis team leader.

MD, PhD, Associate Professor in Computer Science. Moscow State University, MISiS, HSE, Karolinska Institute, Harvard University. Experience in managing technological (SberDevices) and scientific teams (MISiS, Karolinska Institute) is >7 years.

Ivan Menshikov, CTO

CTO, software team leader.

 Master of Mathematics, Moscow Institute of Physics and Technology. Ivan has 7+ years of experience in managing a development team.

Pavel Gorbokonenko, hardy

Hardware team leader.

Nanotechnology engineer in electronics, MIREA. Pavel has 5+ years of experience in managing a development team.