Connecting brain activity to digital systems through neuro-interface technology. Explore our advancements in mind-machine integration.
🧠 Discover InterfacesNeural interfaces connect human brain activity to external systems, enabling control of devices through thought. We develop non-invasive electroencephalography (e34) systems and minimally-invasive subdermal implants with bidirectional communication.
Our research focuses on both consumer-grade skullcap technology and clinical-grade medical systems. We implement adaptive machine learning algorithms for real-time signal interpretation and responsive feedback loops.
EEG signal acquisition with noise reduction
AI for intent classification and pattern recognition
Haptic feedback and neural stimulation
Using neural interfaces to restore mobility for parlyzed patients through motor intent recognition.
View Project →Building neural networks for brain-to-brain data transmission with 85% accuracy.
View Project →Developing lightweight neuro-headsets for gaming and productivity applications. Achieved 98% signal accuracy with 70ms latency.
View project →Enhancing brainwave interpretation with adaptive filtering and noise cancellation techniques to improve signal clarity by 40%.
Through optimized circuit design, our headsets maintain full performance for 24 hours on a single charge.
Our systems include privacy controls and secure encryption to protect neural data transmission.
Join researchers and engineers in transforming human-computer interaction through direct neural interfaces.
🔐 Become a Participant