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Optimized for Neuroscience, Clinical & Innovation Environments

Advanced Brain-Computer Interface & Neurotechnology Solutions

g.GAMMAsys EEG Cap with g.SCARABEO EEG Electrodes

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g.tec medical engineering

Why Choose g.tec medical engineering?

Best EEG, BCI & Neurotechnology Tools on the Market

High-performance brain-computer interfaces for cutting-edge neuroscience, clinical applications, and brain research worldwide:

High-resolution data acquisition – Invasive & non-invasive

Wearable & wireless EEG systems – Real-world ready

Powerful BCI software – Real-time signal processing

Rapid prototyping environment – MATLAB & Simulink and Python compatible

Full research packages – EEG, fNIRS, TMS, EMG, eye tracking & more

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Product Highlights

Wearable EEG Headsets
g.Nautilus, g.GAMMAsys, Unicorn Hybrid Black, Unicorn BCI Core-8
Biosignal Amplifiers

g.HIamp, g.USBamp

Active/Passive EEG & TMS Electrodes

g.SCARABEO, g.SAHARA Hybrid, g.LADYbird, g.PANGOLIN

Complete Solutions

recoveriX, cortiQ, mindBEAGLE

Powerful Software

g.tec Suite 2025, g.HIsys, g.Recorder, g.BSanalyze

Most Wanted Products

Unicorn Hybrid Black EEG-Headset

The Unicorn Hybrid Black is the go-to EEG headset for developers, researchers, educators, and creators who need reliable brain data—without the complexity.

Whether you're building BCI apps, running neuroscience experiments, or creating interactive brain-controlled experiences, this headset delivers professional-grade performance in a plug-and-play format.

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g.Nautilus PRO Flexible Wireless EEG-Device

CE-certified and FDA-cleared, this customizable EEG headset offers 8 to 32 dry or wet electrodes for precise brain activity monitoring in healthcare environments. 

g.Nautilus PRO Flexible is perfectly suited for medical applications because multiple caps can be used with one headset and the cleaning is easier.

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g.HIamp Multi-Channel Biosignal Amplifier

g.HIamp is a high-performance biosignal amplifier with 256 channels for invasive and non-invasive measurements of the brain that is FDA cleared and CE approved.

 g.HIamp provides excellent signal resolution and a wide input sensitivity to record EEG, ECoG, ECG, EMG, and EOG without any saturation.

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The Unicorn BCI Core-8 is a powerful 24-bit, 8-channel EEG and BCI device designed for versatility and ease of use. It attaches magnetically to various base stations, which can be configured for diverse recording scenarios on humans, dogs, horses, or other subjects.

EEG Data Visualization and Signal Processing in Python

Unicorn BCI Core-8: The Cross-Species Wearable EEG-Headset

The Unicorn BCI Core-8 is a powerful 24-bit, 8-channel EEG-headset. It attaches magnetically to various base stations, which can be configured for diverse recording scenarios on humans, dogs, horses, or other subjects. Equipped with multiple electrode options, the device adapts seamlessly to experimental needs.

The device streams data into g.HIsys, a robust rapid prototyping environment for real-time signal processing, EEG data visualization, and storage.

The g.Pype SDK Software Development Kit for Python, compatible with macOS and Windows, enables advanced EEG signal processing, visualization, and feature extraction, providing an alternative to traditional MATLAB workflows.

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Wearable EEG and fNIRS in High-Resolution

g.Nautilus Wearable EEG featuring NIRx fNIRS: Enhanced Brain Activity Monitoring

The wearable g.Nautilus NIRX system allows for the simultaneous recording of high-quality EEG and fNIRS signals. The system comes with 8, 16, 32 or 64 input channels for EEG acquisition and 16 detectors with 16 sources for fNIRS acquisition.

Cognitive and Neural Research: Researchers can use wearable EEG and fNIRS to study neural correlates of attention, memory, language processing, and decision-making in everyday environments.
Emotion and Stress Detection: Wearable systems can detect changes in brain patterns related to stress, anxiety, or emotional states, enabling applications in mental health monitoring or workplace well-being.
Cognitive Workload Monitoring: Wearable EEG and fNIRS can monitor mental effort and cognitive load in real-time, useful in educational settings or for optimizing human performance in high-stress environments (e.g., pilots, surgeons).
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