No operation
Nothing to implant. A headset you put on replaces brain surgery.
Move again, by intention.
Cirus is building a brain-computer interface you wear, not one you implant, so that people living with paraplegia or tetraplegia can control a wheelchair, a computer or an exoskeleton.
You decide to move.
The signal leaves your brain.
It never reaches your body.
Cirus gives that signal another way out.
A brain-computer interface you wear.
Implanted interfaces need brain surgery. We are building one you simply put on.
Easy to use
Designed so a person or a carer can set it up, without a technician.
At home
Built for daily life at home, not only for the lab or the hospital.
Calibration-free
Ready to use, without long training sessions for each new person.
From intention to movement: headset, imagery, decoding, device.
Headset
EEG setup
Non-invasive signal capture. Nothing is implanted.
01
EEG channelsIllustration
Fp1
C3
Cz
P4
O2
EEG records the electrical activity of the brain from the scalp. A headset picks up the signal over the motor cortex and sends it to the app.
Every recording matters.
We record brain activity while people imagine movements. Each recording helps our system recognize the intention to move. Anyone can take part.
Athletes
Trained in mental rehearsal, athletes imagine movements clearly and consistently. Their recordings give our system clean examples to learn from.
Healthy volunteers
No experience needed. The more people take part, the better the system works for everyone.
People living with paralysis
The people Cirus is built for. Your recordings make sure it works for you.
Where we are.
Robotic arm
A healthy volunteer controlled a robotic arm with motor imagery decoded from EEG.
Computer, wheelchair, exoskeleton
Everyday devices, controlled by the intention to move.
Everyday mobility
Independence at home, without surgery.
Built on research.
Cirus comes out of five years of research on motor imagery and brain-computer interfaces at the Paris Brain Institute and INRIA.
Backed by
Research supported by
Tristan Venot
Co-Founder & CEOPhD in brain-computer interfaces, Paris Brain Institute, INRIA and ISIR.
Arya Yazdan-Panah
Co-Founder & CTOPhD in AI applied to neuroscience, Paris Brain Institute and INRIA.
Fabrizio de Vico Fallani
Scientific AdvisorINRIA Research Director, 20 years of brain-computer interface research.
Our publications
- 2026
Feature Interpretability in Motor Imagery Brain Computer Interfaces: A Meta-Analysis Across Connectivity, Spatial Filtering, and Riemannian Methods
Juliana Gonzalez-Astudillo, Fabrizio de Vico Fallani
Brain Connectivity
- 2025
Medical Imaging AI Competitions Lack Fairness
Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda, A. Emre Kavur, Khrystyna Faryna, Daan Schouten, Bennett A. Landman, Carole Sudre, Olivier Colliot, Nick Heller, Sophie Loizillon, Martin Maška, Maëlys Solal, Arya Yazdan-Panah, Vilma Bozgo, Ömer Sümer, Siem de Jong, Sophie Fischer, Michal Kozubek, Tim Rädsch, Nadim Hammoud, Fruzsina Molnár-Gábor, Steven Hicks, Michael A. Riegler, Anindo Saha, Vajira Thambawita, Pal Halvorsen, Amelia Jiménez-Sánchez, Qingyang Yang, Veronika Cheplygina, Sabrina Bottazzi, Alexander Seitel, Spyridon Bakas, Alexandros Karargyris, Kiran Vaidhya Venkadesh, Bram van Ginneken, Lena Maier-Hein
arXiv
- 2025
Neural mechanisms of training in Brain-Computer Interface: A Biophysical modeling approach
Apurba Debnath, Tristan Venot, Marie-Constance Corsi, Parul Verma
bioRxiv
- 2024
Automatic quality control of segmentation results using early epochs as data augmentation: application to choroid plexuses
Arya Yazdan-Panah, Bruno Stankoff, Olivier Colliot
Medical Imaging 2024: Image Processing
- 2024
Intentional binding for noninvasive BCI control
Tristan Venot, Arthur Desbois, Marie-Constance Corsi, Laurent Hugueville, Ludovic Saint-Bauzel, Fabrizio de Vico Fallani
Journal of Neural Engineering
- 2024
HappyFeat: An interactive and efficient BCI framework for clinical applications
Arthur Desbois, Tristan Venot, Fabrizio de Vico Fallani, Marie-Constance Corsi
Software Impacts
- 2024
Dynamic brain networks in motor imagery-based BCI
Tristan Venot, Arthur Desbois, Fabrizio de Vico Fallani
Graz BCI Conference
- 2023
Automatic segmentation of the choroid plexuses: Method and validation in controls and patients with multiple sclerosis
Arya Yazdan-Panah, Marius Schmidt-Mengin, Vito A. G. Ricigliano, Théodore Soulier, Bruno Stankoff, Olivier Colliot
NeuroImage: Clinical
- 2022
EEG as signal on graph: a multilayer network model for BCI applications
Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi, Fabrizio de Vico Fallani, Stefania Colonnese
30th European Signal Processing Conference (EUSIPCO)
- 2021
Network-based brain-computer interfaces: principles and applications
Juliana Gonzalez-Astudillo, Tiziana Cattai, Giulia Bassignana, Marie-Constance Corsi, Fabrizio de Vico Fallani
Journal of Neural Engineering
- 2021
Phase/amplitude synchronization of brain signals during motor imagery BCI tasks
Tiziana Cattai, Stefania Colonnese, Marie-Constance Corsi, Danielle S. Bassett, Gaetano Scarano, Fabrizio de Vico Fallani
IEEE Transactions on Neural Systems and Rehabilitation Engineering
- 2019
Network neuroscience for optimizing brain-computer interfaces
Fabrizio de Vico Fallani, Danielle S. Bassett
Physics of Life Reviews
- 2014
Graph analysis of functional brain networks: practical issues in translational neuroscience
Fabrizio de Vico Fallani, Jonas Richiardi, Mario Chavez, Sophie Achard
Philosophical Transactions of the Royal Society B
- 2008
Cortical Network Dynamics during Foot Movements
Fabrizio de Vico Fallani, Laura Astolfi, Febo Cincotti, Donatella Mattia, Maria Grazia Marciani, Andrea Tocci, Serenella Salinari, Herbert Witte, Wolfram Hesse, Shangkai Gao, Alfredo Colosimo, Fabio Babiloni
Neuroinformatics
Let's build it together.
Investors, participants, clinical and research partners: book a call with the team.
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